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  • 1.
    Axsäter, Sven
    et al.
    Department of Industrial Management and Logistics, Lund University, Sweden.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Introduction of Matrices for Production Structures and Similar Processes2011In: Production economics - an evergreen: a conference organized to honour professor Robert W. Grubbström : Linköping Institute of Technology, Sweden, May 8-9, 2009 / [ed] Attila Chikán, Hans H. Hinterhuber, Christopher O'Brien, Anders Segerstedt, D. Clay Whybark, Linköping: Production-Economic Research in Linköping (Profil) , 2011, p. 45-54Chapter in book (Other academic)
  • 2.
    Azaron, A.
    et al.
    University College Dublin.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics . Linköping University, The Institute of Technology.
    Tavakkoli-Moghaddam, R.
    University of Tehran.
    Dynamic lot sizing problem with continuous-time Markovian production cost2009In: International Journal of Production Economics, ISSN 0925-5273, Vol. 120, no 2, p. 607-612Article in journal (Refereed)
    Abstract [en]

    This paper develops a polynomial algorithm for obtaining dynamic economic lot sizes in a single product multiperiod production system with the objective of minimizing total production and inventory costs over T periods. It is assumed that production costs are linear, inventory costs are concave, setup costs are zero and backlogging is not permitted in all periods. Moreover, the unit production cost is a stochastic variable, which is evolved according to a continuous-time Markov process over the planning horizon. The model is formulated as a stochastic dynamic programming (DP) optimization with the state variable being unit production cost. Then, it is solved using the backward dynamic programming approach. To justify the application of the proposed model, two practical cases are presented.

  • 3.
    Bao, Xing
    et al.
    Shanghai Jiaotong University.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics .
    Ji, Jianhua
    Shanghai Jiaotong University.
    Applying Minimum Relative Entropy Method for Bimodal Distribution in a Remanufacturing System2008In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 113, no 2, p. 969-979Article in journal (Refereed)
    Abstract [en]

         

  • 4.
    Chen, Lujie
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Feldmann, Andreas
    Department of Industrial Economics and Management, Royal Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    An empirical evaluation of sustainable operations practices and performance in the Swedish manufacturing industry2015Manuscript (preprint) (Other academic)
    Abstract [en]

    This study explored whether there are patterns linking sustainability practices and performance in the Swedish manufacturing industry. Meanwhile, the relationships between sustainability improvement practices and companies’ triple bottom line performance were investigated using survey data from Swedish manufacturing companies. Treating each sustainability practice and performance indicator as an individual item, factor analysis and cluster analysis were conducted to explore the potential patterns and relationships. The results indicated that the triple bottom line provides a valid outline for representing companies’ sustainability practices in the Swedish manufacturing industry. In terms of sustainability performance, the results showed that economic performance was often treated as a separate category in practice, whereas environmental sustainability and social sustainability were often combined. Process and product technology level was positively correlated with environmental performance and innovation performance. Economic, social, and environmental practices had positive correlations with performance in the respective area. Even though not all social and environmental practices directly improved companies’ economic performance, some social and environmental practices, such as education, individual development, and environmental health improvement, had an indirect effect and, thus, are deserving of specific attention. These selected practices often had a positive impact on product and process innovation, which could further improve companies’ economic performance.

  • 5.
    Chen, Lujie
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Feldmann, Andreas
    Department of Industrial Economics and Management, Royal Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    The relationship between disclosures of corporate social performance and financial performance: Evidences from GRI reports in manufacturing industry2015In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 170, p. 445-456Article in journal (Refereed)
    Abstract [en]

    Whether the corporate social performance affects the financial performance is still unclear in many manufacturing companies. We commonly expect, on one side, that profitable corporations have stronger incentives to reveal information on social performance in order to improve their publicity; on the other hand, companies may face the fear of rising costs due to Corporate Social Responsibility (CSR) activities. With increasing concerns of CSR, it is timely to investigate the relationship between the disclosure of corporate social performance and financial performance. In this paper with the above study objective, we use Global Reporting Initiative (GRI) reports of 75 sample companies, collect evidences by applying the method of structured content analysis of the cases and attempt to identify this relationship. The corporate social performance is measured by the indicators according to the GRI guidelines, i.e. within the categories of Labor practices and decent work, Human Rights, Society as well as Product responsibility. Financial performance is measured by return on equity, sales growth and cash flow/sales ratio. Using statistical evaluation methods, our results indicate that the categories of Human Rights, Society as well as Product responsibility display a significant and positive correlation with the return on equity. Same conclusion also holds for many CSR indicators. Nevertheless, when examining the CSR practices across different manufacturing sectors, we have not observed significant differences. The study results are important for understanding the development and implementation of CSR practices in the manufacturing industry.

  • 6.
    Chen, Lujie
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Olhager, Jan
    Industrial Management and Logistics, Lund University.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Manufacturing facility location and sustainability: A literature review and research agenda2014In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 149, p. 154-163Article in journal (Refereed)
    Abstract [en]

    The perspectives on the manufacturing footprint of global firms are widening from the economic aspects to also include the environmental and social aspects. Thus, sustainability is becoming an important issue for the location of manufacturing facilities. It is therefore timely to review the relevant aspects and dimensions in the extant literature to investigate the relationship between sustainability and facility location. In this paper, we aim to understand how sustainability aspects are included in decision-making concerning manufacturing facility locations and the role of location in evaluating manufacturing sustainability. We examine the literature streams on sustainability and facility location. A comprehensive search includes peer-reviewed literature from 1990 to 2011. We propose a literature classification scheme with respect to focal area and research methodology. The content analysis identifies the environmental, social and economic perspectives and factors affecting location decisions. We synthesize the findings into a framework for taking sustainability aspects into account in manufacturing facility location decision-making. We also propose a research agenda for further research on sustainable locations.

  • 7.
    Chen, Lujie
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Does supplier involvement affect Swedish manufacturers’ sustainability?2015Manuscript (preprint) (Other academic)
    Abstract [en]

    This study examines the moderating role of supplier involvement in the focal company’s sustainable initiatives. Survey methodology was used to collect data from 349 Swedish manufacturers. Partial least squares structural equation modeling was then applied to analyze the causal relationships and moderating effects. The results showed that there was a significant positive relationship between sustainable drivers and sustainable improvement practices within the focal company itself. The focal company’s sustainable improvement practices significantly contributed to its sustainable performance. Moreover, the high levels of supplier involvement in environment-related work significantly strengthened the relationship between the focal company’s sustainable practices and performance. This study contributes to the literature in the field of green supply chain management. The results indicate not only that a “win-win” opportunity exists for members of the Swedish manufacturing industry who implement sustainable practices, but also that organizational green capabilities can be strengthened by cooperating with suppliers through organizational learning.

  • 8.
    Chen, Lujie
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Feldmann, Andreas
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Applying GRI reports for the investigation of environmental management practices and company performance in Sweden, China and India2015In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 98, p. 36-46Article in journal (Refereed)
    Abstract [en]

    The relationship between environmental management practices (EMPs) and company performance hasrecently been debated in literature and is of interest for both industrial managers and political decisionmakers.This paper investigates the relationship between EMPs and firm performance in manufacturingcompanies in Sweden, China and India. With the content analysis of Global Reporting Initiative (GRI)reports and financial reports of sample companies, the levels of EMPs and the companies’ financialperformances were coded. Further statistical assessment was conducted in order to identify patterns andcorrelations. The results indicate that only selected EMPs have been employed differently in threedifferent countries. Most EMPs clearly do not have a positive correlation with the financial performance;i.e. employing EMPs does not necessarily improve the economic consequence of companies. Nevertheless,a number of EMPs do have a strong correlation with improving innovation performance in variouscompanies. It is also interesting to note that a negative correlation exists between the Environmentalstandard for suppliers and Sales growth. This is possibly due to increasing operational costs and a delay inmarket acceptance. This research illustrates the possibility of using standard environmental data fromGRI reports as a resource for future studies of EMPs. In order to improve long-term financial performance,this study also suggests that innovation should gain a substantial amount of attention when EMPsare employed.

  • 9.
    Chen, Lujie
    et al.
    CEIBS, Peoples R China.
    Zhao, Xiande
    CEIBS, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Price, Lydia
    CEIBS, Peoples R China.
    Zhang, Shanshan
    South China University of Technology, Peoples R China.
    Zhu, Wenwen
    South China University of Technology, Peoples R China.
    Supply chain collaboration for sustainability: A literature review and future research agenda2017In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 194, p. 73-87Article, review/survey (Refereed)
    Abstract [en]

    New technology is altering business strategies and innovation capabilities while increasing the possibilities of production and process innovation. Supply chain collaboration undertaken for the sake of sustainability is currently speeding up this process of change; a growing pool of research is exploring the links between sustainability collaboration and company performance on economic, environmental, and social metrics. It is a good time to review the literature to reveal what has been studied and what are the gaps in the current body of knowledge, and also to comment on what the future research agenda should include. For these purposes, the authors conducted a systematic literature review and a quantitative bibliometric analysis. Results indicate that research about supply chain collaboration for the purpose of sustainability is gaining growing attention in the business field; however, environmental and economic considerations still dominate the research, while there is a lack of consideration about social concerns such as child labor and personal development. In addition, the collaboration partners under investigation have mainly been the company and its customers and suppliers, whereas competitors and other horizontal collaboration partners have received little attention.

  • 10.
    Ding, Huiping
    et al.
    Beijing Jiaotong Univ, Peoples R China.
    Huang, Hua
    Beijing Jiaotong Univ, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Sustainable supply chain collaboration with outsourcing pollutant-reduction service in power industry2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 186, p. 215-228Article in journal (Refereed)
    Abstract [en]

    In developing countries, coal power plants still play a major role in the power sector and they are considered as a major emission source of air pollution. Strict regulations have compelled the coal power plants to improve environmental performance by reducing carbon emissions and the emission of pollutants. However, due to cost disadvantages, the coal power plants often lack motivation to internalize environmental externalities through investing in green technology. This situation raises a question: is there any alternative to reduce pollutants in operations economically? With a focus on service supply as well as a consideration of government policies, this paper develops a model to investigate the opportunity of outsourcing a pollutant-reduction service to meet the environmental constraint. The service supply chain consists of a coal power plant (end user) and a pollutant-reduction service provider, with the former outsourcing the service to the latter. We study the policy for improving the profit of this service supply chain whereas the benefit allotment is adjusted through outsourcing price negotiation between the two partners. The results show that the green service outsourcing price is interrelated with the government incentive policy which defines the shares of the two partners. Our key contribution lies in integrating the complex factors affecting the supply chain collaboration such as green service, financial feasibility, environmental constraint, government policies, outsourcing price negotiation, and profit sharing. Our research findings have the following implications; considering environmental externalities, the government should motivate the collaboration between supply chain partners; the economic scale of output and sales price subsidy of electricity generation are the primary factors affecting the price of outsourcing green service and, consequently, the allotment of supply chain profits. The study results indicate the collaboration is potentially effective in improving environmental performance. (C) 2018 Elsevier Ltd. All rights reserved.

  • 11.
    Ding, Huiping
    et al.
    Beijing Jiaotong University, Peoples R China.
    Zhao, Qilan
    Beijing Jiaotong University, Peoples R China.
    An, Zhirong
    Beijing Jiaotong University, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps2016In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 181, p. 191-207Article in journal (Refereed)
    Abstract [en]

    Negative impacts on environment such as carbon emissions and pollution resulting from the business activities of firms in a supply chain have attracted great attention worldwide. Hence, one of the crucial issues for supply chain management is the trade-off between economic objectives and environmental sustainability. This paper focuses on investigating the government policy incentive mechanism, with which supply chain members are motivated to work collaboratively to reduce carbon and pollutant emissions by investing in producing environmental-friendly products (EFP). Such a mechanism affects the transfer price through negotiation between the supply chain firms, and consequently it has an impact on the supply chains value transition and profit allocation. A collaborative supply chain decision-making framework is formulated with environmental constraints and carbon caps; its objective is to maximize the net present value of an integrated supply chain as well as satisfy the interests of its individual members. Our key contribution lies in exploring a decision-making mechanism for an environmentally sustainable supply chain that is jointly constrained by environmental carrying capacities and carbon caps, and also takes into account government policy incentives. The results show that collaboration between supply chain members plays a crucial role in improving their environmental performance, as the transfer price is determined through negotiations to share government subsidies to satisfy the individual interests of supply chain members while the level of pollutants and carbon emissions are in compliance with environmental standards.(C) 2016 Elsevier B.V. All rights reserved.

  • 12.
    Disney, Stephen M
    et al.
    Cardiff University, Wales .
    Bogataj, Marija
    MEDIFAS, Slovakia University of Ljubljana, Slovenia .
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Editorial Material: Sixteenth international working seminar on production economics, Innsbruck, 20102012In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 140, no 2, p. 557-558Article in journal (Other academic)
    Abstract [en]

    n/a

  • 13.
    Gao, Song
    et al.
    Linköping University, Department of Management and Engineering. Linköping University, Faculty of Science & Engineering. Tongji Univ, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Wang, Hongwei
    Tongji Univ, Peoples R China.
    Yin, Pei
    Univ Shanghai Sci and Technol, Peoples R China.
    Identifying competitors through comparative relation mining of online reviews in the restaurant industry2018In: International Journal of Hospitality Management, ISSN 0278-4319, E-ISSN 1873-4693, Vol. 71, p. 19-32Article in journal (Refereed)
    Abstract [en]

    It is of importance for restaurants to identify their competitors to gain competitiveness. Meanwhile, opinion-rich resources like online reviews sites can be used to understand others opinion toward restaurant services. We thus propose a novel model to extract comparative relations from online reviews, and then construct three types of comparison relation networks, enabling competitiveness analysis for three tasks. The first network help restaurants analyze market structure for their positioning. The second network enables to identify top competitors using competitive index and dissimilarity index. The third network help restaurants identify strengths and weaknesses through aspects-comparison relation mining. Finally, the market environment is illustrated in a visual way according to the three types of networks. Experimental results reveal the effectiveness of the proposed competitiveness analysis using text analytics, which can identify top competitors and evaluate the market environment, as well as help the focal restaurant effectively develop a service improvement strategy.

  • 14.
    Grubbström, Robert W.
    et al.
    Linköping University, Department of Management and Engineering. Linköping University, The Institute of Technology.
    Hinterhuber, Hans H.
    University of Innsbruck, Innsbruck, Austria.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Innsbruck 20082011In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 131, no 1, p. 1-3Article in journal (Other academic)
  • 15.
    Grubbström, Robert W.
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    An Overview of Input-Output Analysis Applied to Production-Inventory Systems2000In: Economic Systems Research, ISSN 0953-5314, E-ISSN 1469-5758, Vol. 12, no 1, p. 3-25Article in journal (Refereed)
    Abstract [en]

    Input-Output Analysis, together with the Laplace transform, have been applied to multi-level, multi-period production-inventory systems in a number of papers. This article gives a historical overview of the areas involved in these studies. It is shown that the input and output matrices as well as the Leontief inverse can be generalised to include timing properties for the inputs by means of the Laplace transform. The consequent advantages are exemplified in different production models, treating, for instance, capacity requirements and safety stock problems. The main literature in this field concerns assembly systems, but the approach is easily applicable to process industries with a divergent material flow or when feedback is essential.

  • 16.
    Grubbström, Robert W.
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Further Developments on Safety Stocks in an MRP System Applying Laplace Transforms and Input-Output Analysis1999In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 60-61, p. 381-387Article in journal (Refereed)
    Abstract [en]

    In a sequence of previous papers, the Laplace transform and Input–Output Analysis have been applied to formulate a theoretical basis for material requirements planning (MRP) under different levels of generalisation. Searching for the optimal safety stock is one of the extensions of this theory. This paper investigates the safety stock properties in the case that the time interval of demand is Gamma-distributed. The Generalised Leontief inverse plays an effective role in describing the multi-level production–inventory system when the subordinate products are produced according to a lot-for-lot (L4L) policy.

  • 17.
    Grubbström, Robert W.
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Modelling Rescheduling Activities in a Multi-Period Production-Inventory System2000In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 68, no 2, p. 123-135Article in journal (Refereed)
    Abstract [en]

    Decisions for planning production activities for multi-period production–inventory systems have been studied in a number of papers applying input–output analysis and the Laplace transform. The decisions have concerned activities spread out over time without having the opportunity to adjust future decisions when the external and/or internal circumstances change. In this paper, we extend the analysis to situations when rescheduling is possible. Firstly, different classes of causes justifying rescheduling activities are presented including periodic rescheduling and “net change”. Secondly, in terms of previously developed theory, we model the behaviour of a simple single-level production–inventory system for which its production plan may be modified at one point in the future.

  • 18.
    Grubbström, Robert W.
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Optimal production opportunities in a remanufacturing system2006In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 44, no 18-19, p. 3953-3966Article in journal (Refereed)
    Abstract [en]

    In recent years, remanufacturing has emerged in various industrial sectors, and it adds an additional production alternative apart from the conventional manufacturing process. With remanufacturing, a used return product is often disassembled, reprocessed, and then reassembled into a new product. The remanufactured product is often of the same quality as those from regular manufacturing. Even though remanufacturing saves a substantial cost of materials, it often requires more labour and other inputs. Thus, it becomes important to examine the expanded production opportunity of the system. In this paper, we therefore make a first attempt to model such a system with respect to its optimal production. This model is based on the Cobb-Douglas (Wicksell) production function. More specifically, we focus on how labour costs, material costs, and the budget influence optimal production decisions. Explicit properties of the optimal plan are derived and presented as theorems. Results of this study are intended to provide a guideline for managers to make sound decisions, when dealing with the increasingly important remanufacturing systems.

  • 19.
    Grubbström, Robert W.
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Production Economics. Linköping University, The Institute of Technology.
    The moments and central moments of a compound distribution2005In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 170, no 1, p. 106-119Article in journal (Refereed)
    Abstract [en]

    The compound distribution is of interest for the study of production/inventory problems, since it provides a flexible description of the stochastic properties of the system. However, due to the difficulties involved in obtaining analytical results for the compound distribution, studies are usually limited to searching for a good approximation by replacing a more complex model with a simpler one applying only the first few moments as parameters. This paper presents general closed form formulae for the moments and central moments of any order of a compound distribution made up of non-negative stochastic variables. The Laplace and z-transform methods play an important role in this study. The importance of taking into consideration higher-order moments, when computing a safety factor for inventory control, is illustrated in a numerical example. © 2004 Elsevier B.V. All rights reserved.

  • 20.
    Grubbström, Robert W
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    The space of solution alternatives in the optimal lotsizing problem for general assembly systems applying MRP theory2012In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 140, no 2, p. 765-777Article in journal (Refereed)
    Abstract [en]

    MRP Theory combines the use of Input-Output Analysis and Laplace transforms, enabling the development of a theoretical background for multi-level, multi-stage production-inventory systems together with their economic evaluation, in particular applying the Net Present Value principle (NPV). less thanbrgreater than less thanbrgreater thanIn a recent paper (Grubbstrom et al., 2010), a general method for solving the dynamic lotsizing problem for a general assembly system was presented. It was shown there that the optimal production (completion) times had to be chosen from the set of times generated by the Lot-For-Lot (L4L) solution. Thereby, the problem could be stated in binary form by which the values of the binary decision variables represented either to make a production batch, or not, at each such time. Based on these potential times for production, the problem of maximising the Net Present Value or minimising the average cost could be solved, applying a single-item optimal dynamic lotsizing method, such as the Wagner-Whitin algorithm or the Triple Algorithm, combined with dynamic programming. less thanbrgreater than less thanbrgreater thanThis current paper follows up the former paper by investigating the complexity defined as the number of possible feasible solutions (production plans) to compare. We therefore investigate how properties of external demand timing and properties of requirements (Bill-of-Materials) have consequences on the size of this solution space. Explicit expressions are developed for how the total number of feasible production plans depends on numbers of external demand events on different levels for, in particular, the two extreme cases of a serial system and a full system (the latter, in which items have requirements of all existing types of subordinate items). A formula is also suggested for general systems falling in between these two extremes. For the most complex full system, it is shown that the number of feasible plans will be the product of elements taken from Sylvesters sequence (an instance of doubly exponential sequences) raised to powers depending on numbers of external demand events.

  • 21.
    Li, Dong
    et al.
    Leeds University, UK.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering.
    OBrien, Christopher
    Nottingham University, UK.
    Wang, Xiaojun
    Leeds University, UK.
    Improve food retail supply chain operations with dynamic pricing and product tracing2006In: International journal of services operations and informatics, ISSN 1741-539X, Vol. 1, no 4, p. 347-362Article in journal (Refereed)
  • 22.
    Li, Juan
    et al.
    Nanjing University, Peoples R China .
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Capacity and pricing policies with consumer overflow behavior2012In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 140, no 2, p. 825-832Article in journal (Refereed)
    Abstract [en]

    We analyze consumers choice and overflow behavior between two potential market segments with different fares, capacity allocated, and then develop the optimal capacity and pricing polices assuming that such consumers strategic behavior can be observed. Every consumer prefers to choose a fare to obtain their utmost value surplus, and select the second if the first-best choice cannot be satisfied. Our study indicates that the effort of fencing the segments should be considered to cope properly with pricing and capacity decisions in order to direct the overflows. Disregarding overflows could create differences in decisions as well as economic consequences. The study results can be implemented, but not limited, to understand the flight seat allocation problem with strategic consumers.

  • 23.
    Li, Lin
    et al.
    Tongji University.
    Huo, Jiazhen
    Tongji University.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    A hybrid flowshop scheduling problem for a cold treating process in seamless steel tube production2011In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 49, no 15, p. 4679-4700Article in journal (Refereed)
    Abstract [en]

    Seamless steel tubes often have various categories and specifications, which further require complicated operations in production, especially in the cold treating process (CTP). This paper investigates the scheduling problem using the seamless tube plant of Baoshan Iron and Steel Complex as a study background. By considering the practical production constraints such as sequence-dependent setup times, maintenance schedule, intermediate material buffers, job-machine matches, we formulate the hybrid flowshop scheduling problem with a non-linear mixed integer programming model (NMIP). In addition, our model provides a flexibility to remove the permutation assumption, which is often a limitation in early studies. In order to obtain the solution of the above NMIP problem, a two-stage heuristic algorithm is proposed and it combines a modified genetic algorithm and a local search method. With real production instances, our computation experiments indicate that the proposed algorithm is efficient and it outperforms several other approaches. Industrial implementation also shows that such a scheduling tool brings a cost saving of more than 10% and it substantially reduces the computation time. Our study also illustrates the need of relaxing permutation assumption in such a scheduling problem with complicated operation sequences.

  • 24.
    Li, Xiang
    et al.
    Nankai University, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Liu, Weihua
    Tianjin University, Peoples R China.
    Sun, Xiaochen
    Tianjin University, Peoples R China.
    Editorial Material: Discrete and Dynamic Optimization Problems in Operations Management 2014 in DISCRETE DYNAMICS IN NATURE AND SOCIETY, vol , issue 597980, pp2014In: Discrete dynamics in nature and society, ISSN 1026-0226, E-ISSN 1607-887X, Vol. 2014, no 597980, p. 1-2Article in journal (Other academic)
    Abstract [en]

    n/a

  • 25.
    Lindholm, Anna
    et al.
    Lund University, Sweden.
    Johnsson, Charlotta
    Lund University, Sweden.
    Quttineh, Nils-Hassan
    Linköping University, Department of Mathematics, Optimization . Linköping University, The Institute of Technology.
    Lidestam, Helene
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Henningsson, Mathias
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Wikner, Joakim
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Nytzén, Nils-Petter
    Perstorp AB, Sweden.
    Forsman, Krister
    Perstorp AB, Sweden.
    Hierarchical Scheduling and Utility Disturbance Management in the Process Industry2013In: Proceedings for IFAC Conference on Manufacturing Modelling, Management and Control (MIM2013), 2013, Elsevier, 2013, p. 140-145Conference paper (Refereed)
    Abstract [en]

    The integration of scheduling and control in the process industry is a topic that has been frequently discussed during the recent years, but many challenges remain in order to achieve integrated solutions that can be implemented for large-scale industrial sites. In this paper we consider production control under disturbances in the supply of utilities at integrated sites together with the integration towards production scheduling. Utilities, such as steam and cooling water, are often shared between the production areas of a site, which enables formulation of an optimization problem for determining the optimal supply of utilities to each area at the occurrence of a disturbance. Optimization in two timescales is suggested to handle the scheduling and disturbance management problems in a hierarchical fashion. The suggested structure has been discussed with companies within the chemical process industry. A simple example is provided to show how the structure may be used

  • 26.
    Liu, Weihua
    et al.
    Tianjin Univeristy.
    Liu, Binglian
    Nankai University.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Chen, Lujie
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Liu, Xiaoyan
    Tianjin University.
    An empirical examination of the contents and evolution of the composing factors of logistics enterprise competitiveness: a perspective from China2014In: International Journal of Logistics, ISSN 1367-5567, E-ISSN 1469-848X, Vol. 17, no 6, p. 459-484Article in journal (Refereed)
    Abstract [en]

    Managers and researchers are increasingly interested in the factor that logistics enterprise competitiveness(LEC) has significant effects on the development of Chinese logistics enterprises, especially in view of theenterprise life cycle. This paper investigates the contents and evolution of the composing factors of LEC inChina by a survey.With Statistical Product and Service Solutions (SPSS 15.0) software, the factor analysismethod is used to determine the effects of each factor on LEC. Furthermore, the comparative analysismethod is applied to compare the composing factors of LEC in different types of logistics enterprises andat different enterprise life cycle stages. The results show that factors of LEC according to their descendingimportance level are corporate capabilities, corporate resources, and dynamic mechanism. Three kindsof corporate capabilities (financial management capability, logistics risk control capability, and humanresource management capability) and two kinds of corporate resources (corporate human resources andcorporate culture) have the greatest influence on the development of LEC, but in reality have poor practicalperformance, and hence deserve more consideration from the enterprises.

  • 27.
    Liu, Weihua
    et al.
    Tianjin Univ, Peoples R China.
    Wang, Di
    Tianjin Univ, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Zhu, Donglei
    Tianjin Univ, Peoples R China.
    The impacts of logistics service integrators overconfidence behaviour on supply chain decision under demand surge2018In: European Journal of Industrial Engineering, ISSN 1751-5254, E-ISSN 1751-5262, Vol. 12, no 4, p. 558-597Article in journal (Refereed)
    Abstract [en]

    This paper studies a two-echelon logistics service supply chain (LSSC) composed of one logistics service integrator (LSI) and one functional logistics service provider (FLSP). We develop a two-period service capacity procurement model where market demand surges in the second period. The LSI, as the Stackelberg game leader, tends to be overconfident when market demand surges. The results show that when the demand surges in the second period, if the overconfident purchasing capacity of LSI cannot meet the market demand, the overconfidence behaviour will negatively affect LSI s optimal pricing. Besides, the overconfidence behaviour leads to the lowest service level of the FLSP in the second period under demand surge. However, such negative impacts can be reduced or even eliminated in certain conditions through the FLSP-led mechanism and the dynamic wholesale price mechanism. The numerical simulation and the case study from China are used to illustrate the model and draw some conclusions.

  • 28.
    Liu, Weihua
    et al.
    Tianjin Univ, Peoples R China.
    Wang, Di
    Tianjin Univ, Peoples R China.
    Zhao, Xuan
    Tianjin Univ, Peoples R China.
    Si, Cheng
    Tianjin Univ, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    The framework for designing new logistics service product: a multi-case investigation in China2019In: Asia Pacific Journal of Marketing and Logistics, ISSN 1355-5855, E-ISSN 1758-4248, Vol. 31, no 4, p. 898-924Article in journal (Refereed)
    Abstract [en]

    Purpose The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future development of the logistics industry. Design/methodology/approach The paper adopts the multi-case study method based on a sample of four Chinese logistics enterprises, in which the authors consider the logistics service maturity (LSM), a distinct characteristic of logistics enterprises. Findings NLSPD is directly related to the degree of supply-demand matching (SDM) and LSM. Customer demand, service capability and peer competition influence the performance of NLSPD through the SDM degree, whereas LSM moderates these influencing mechanisms. Moreover, the degree of SDM has a positive impact on LSM. Practical implications - The findings can help the managers of logistics enterprises and practitioners in the logistics industry understand the complexity of NLSPD. First, they should broaden and deepen their service offering to enhance the degree of LSM. Second, they should pay attention to the factors that affect SDM systematically. Finally, it is vital to balance the relationship between LSM and SDM. Originality/value NLSPD has become an important tool affecting the competitiveness and sustainability of logistics service enterprises. This is the first paper to propose a theoretical framework for NLSPD that considers the characteristic of the logistics industry. It clarifies the mechanisms of influencing factors, and contributes to the literature by filling the research gap.

  • 29.
    Liu, Weihua
    et al.
    Tianjin University, Peoples R China.
    Zhao, Xuan
    Tianjin University, Peoples R China.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Xu, Haitao
    Tianjin University, Peoples R China.
    Impacts of demand and supply factors on the capacity scheduling performance of logistics service supply chain with mass customisation service modes: an empirical study from China2017In: Production planning & control (Print), ISSN 0953-7287, E-ISSN 1366-5871, Vol. 28, no 9, p. 727-743Article in journal (Refereed)
    Abstract [en]

    This paper studies the influence of the demand-supply environment on the capacity scheduling performance of the logistics service supply chain. According to the key characteristics of the demand-supply environment, the cases of five Chinese companies were introduced and cross-analysed, then research hypotheses were developed. After receiving 154 valid questionnaires and testing our hypotheses, some key conclusions were obtained. From the aspect of demand, there is a positive correlation between the customised levels of demand and the scheduling cost of logistics service integrators but a negative correlation between the customised levels of demand and the scheduling flexibility; From the aspect of supply, a higher self-support ratio of logistics source and a higher sourcing integrity of logistics service integrators will lead to a higher scheduling cost and a lower scheduling flexibility; a whole-process performance evaluation is a moderator, which will positively improve the impact of the whole process scheduling performance.

  • 30.
    Liu, Xiaofeng
    et al.
    Shanghai Jiaotong University, China.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics .
    Huang, Pei
    Fudan University, China.
    Dynamic pricing and ordering decision for the perishable food of the supermarket using RFID technology2008In: Asia Pacific Journal of Marketing and Logistics, ISSN 1355-5855, E-ISSN 1758-4248, Vol. 20, no 1Article in journal (Refereed)
    Abstract [en]

      

  • 31.
    Marand, Ata Jalili
    et al.
    Aarhus Univ, Denmark.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Li, Hongyan
    Aarhus Univ, Denmark.
    Quandary of service logistics: Fast or reliable?2019In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 275, no 3, p. 983-996Article in journal (Refereed)
    Abstract [en]

    Delivery time and delivery reliability are two top-level measures of delivery performance, and they both influence customers perception of service value. However, the classic queue-pricing literature emphasizes the former and ignores the latter. In order to bridge the gap between research and practice, this study addresses the interactive impact of price, delivery time, and delivery-reliability level on the equilibrium behaviour of rational customers and the optimal decisions of a revenue-maximizing service provider. We assume that the customers sensitivity to the delivery-reliability level is characterized by an increasing concave service value function. We model the operations of the service provider as an M/M/1 queue. Two cases are investigated: homogeneous customers and heterogeneous customers. For the homogeneous customers case, we analytically characterize the service providers optimal price, delivery time, and delivery reliability level decisions. We show how the service providers decisions on whether to provide faster or more reliable service are affected when different problem parameters are subject to variation. For instance, when customers become more sensitive to the delivery-reliability level, the service provider increases the delivery-reliability level at the expense of a longer delivery time. However, the optimal price may either increase or decrease depending on a benchmark value for the delivery-reliability level. For the heterogeneous customers case, our results suggest that when the potential arrival rate is sufficiently high, the service provider always benefits from markets with higher levels of customer heterogeneity. (C) 2018 Elsevier B.V. All rights reserved.

  • 32.
    Musa, S.Nurmaya
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Cocca, Paola
    Department of Mechanical and Industrial Engineering, University of Brescia, Italy.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Assessing Supply Chain Risk Adopting Reliability ToolsManuscript (preprint) (Other academic)
    Abstract [en]

    The gradual expansion of supply chains has developed its own risk. A single disruption at any element or flow will eventually affect the whole system. It can be observed now that there has been an increase in awareness of the risks involved with supply chain disruption. Many have shown concern over the significance of reliable systems which can identify risk prior to the event, assess the consequences of risk events, and, at the same time, be capable of controlling and managing the events that lead to disruption risk throughout supply chain.

    However, risk issue has not been thoroughly evaluated from the perspective of supply chain performance measures. This is possibly due to the lack of detailed and specific measurement tools for systematically identifying and evaluating supply chain risks. In this study, reviews conducted on relevant journals have guided our search to identify significant components in developing supply chain risk analysis models i.e., risk identification, estimation and evaluation. We explore each component and highlight the respective requirements.

    Acknowledging the well-developed risk analysis methods in the Reliability Engineering field, we consider the possibility of adopting the same approaches in the field of Supply Chain Risk Management. Thus we evaluate the advantages and disadvantages of several risk analysis methods applied in Reliability Engineering field, for example, Failure Modes and Effect Analysis (FMEA), Fault Tree Analysis (FTA), Event Tree Analysis (ETA), Hazards and Operability Analysis (HAZOP), Cause and Effect Diagram (CAED) and Analytical Hierarchy Process (AHP).

    We analyse the similarities and gaps between the two fields with the aim to propose a tool that is suitable for supply chain risk analysis. We find that the use of a stand-alone tool of FMEA or a hybrid application of FTA and AHP is potentially most appropriate in Supply Chain Risk Management.

  • 33.
    Musa, S.Nurmaya
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Shuoguo, Wei
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Information Flow and Mitigation Strategy in a Supply Chain under DisruptionManuscript (preprint) (Other academic)
    Abstract [en]

    Current supply chain systems are structurally and behaviourally complex. The aim of this paper is to investigate the consequences of a supply chain in the case of disruption risk by exploiting the information flow. When studying supply chain disruption, there are two important aspects to be considered; the dynamics of supply chain information flow and the behaviour of supply chain entities towards disruption. Our simulation model proposes a system dynamics approach to cater for the dynamic properties of supply chain information flow when disruption occurs at one of its entities. In particular, we focus on the operational reaction of a supply chain which employs a dualsouring principle with a back-up supplier.

    According to our observation, information flow is often transmitted throughout the network, resulting in a continuous influence on individual entities after any change occurs. In addition, each entity reacts differently when it identifies disruption in information flow. This variety of reactions further influences the information flow and may also contribute to the disturbance of information. Severe disruption shows signs of impacts on the supply chain earlier and longer. The implementation of dual-sourcing helps to reduce disruption impacts. An appropriate order shifting and a quick reaction time could further reduce disruption impacts. However, entirely shifting orders to a backup supplier is not always recommended. Furthermore, in most cases, the earlier the revised order splitting is executed, the lower the impact that is observed. We also identify that extensive information sharing applied within a supply chain brings agility, which further results in a better system reaction towards disruption.

  • 34.
    Musa, S.Nurmaya
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Capacity Expansion Policy and Its Risk in New Product DiffusionManuscript (preprint) (Other academic)
    Abstract [en]

    It is difficult to know how much one should invest in expanding capacity when a new product is introduced to market, because there is often a lack of data for sales history. Based on the Bass diffusion model, we analyze the principles of capacity augmentation using progressive expansion and lumping expansion policies. In addition, decisions for capacity expansion also rely on four scenarios for collecting forecast information, either one or a combination of market demand, backlogs and sales information. For both progressive and lumping policies, this paper suggests the use of sales information for capacity forecasting. This should restrict the sales by limiting the speed of capacity expansion, and thus creates a drift of diffusion curve and avoids the over-investment of capacity. It is also important to define the initial capacity level, which is preferably at a value near the initial demand in a market. In the worst case of having too low initial capacity, delay of sales and adding initial inventory can significantly improve the system performance, in particular when capacity expansion is based on sales forecast. The result of this study is strategically important for defining the capacity position in a new product diffusion process.

  • 35.
    O'Brien, C.
    et al.
    Nottingham University Business School, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics .
    Integrated enterprise and supply chain management2006In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 101, no 1 SPEC. ISS.Other (Other academic)
    Abstract [en]

    [No abstract available]

  • 36.
    Sakao, Tomohiko
    et al.
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, The Institute of Technology.
    Berggren, Christian
    Linköping University, Department of Management and Engineering, Project Innovations and Entrepreneurship. Linköping University, The Institute of Technology.
    Björkman, Mats
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Engineering.
    Kowalkowski, Christian
    Linköping University, Department of Management and Engineering, Industrial Marketing and Industrial Economics. Linköping University, The Institute of Technology.
    Lindahl, Mattias
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, The Institute of Technology.
    Olhager, Jan
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Sandin, Jörgen
    Linköping University, Department of Management and Engineering, Project Innovations and Entrepreneurship. Linköping University, The Institute of Technology.
    Sundin, Erik
    Linköping University, Department of Management and Engineering, Assembly technology. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Thollander, Patrik
    Linköping University, Department of Management and Engineering, Energy Systems. Linköping University, The Institute of Technology.
    Witell, Lars
    Linköping University, Department of Management and Engineering, Quality Technology and Management. Linköping University, The Institute of Technology.
    Research on Services in the Manufacturing Industry based on a Holistic Viewpoint and Interdisciplinary Approach2011In: Functional thinking for value creation : proceedings of the 3rd CIRP International Conference on Industrial Product Service Systems / [ed] Jürgen Hesselbach and Christoph Herrmann, Springer, 2011, p. 27-32Conference paper (Other academic)
    Abstract [en]

    This paper begins by consolidating industrial challenges and research issues concerning Product/Service Systems obtained through various activities by the authors. Based on this, it points out the importance of the holistic view in further research in this area so that PSS providers do not fall into local optimization. The intent of this contribution to our research community includes shedding light on interesting issues that thus far have been relatively invisible and with narrower scope.

  • 37.
    Sakao, Tomohiko
    et al.
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, The Institute of Technology.
    Lindahl, Mattias
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, The Institute of Technology.
    Sundin, Erik
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, The Institute of Technology.
    Öhrwall Rönnbäck, Anna
    Linköping University, Department of Management and Engineering, Industrial Marketing and Industrial Economics. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics.
    Addressing Uncertainty as a Key for Successful Integrated Product and Service Offerings: Literature Review and Company Interview2008In: Swedish Production Symposium,2008, 2008, p. 253-260Conference paper (Refereed)
    Abstract [en]

     Services are getting increasingly important in the manufacturing industries today. As a result, it has become common for companies to provide a combination of services and products as an integrated offering. This paper focuses on such business models and development processes. It explores the current status and needs of industries on those issues. Through reviewing 12 journal articles tackling these issues and complementary academic contributions, it was found that uncertainty is a critical concept to be addressed properly. Based on this result, nine Swedish companies interested in such business were interviewed on this issue. The matured providers raised convincing customers as their major challenges while others consider understanding the internal meaning of IPSO business is their current challenge. In addition, there is a wish to have a quantitative tool for companies to utilize upon developing such offerings.

  • 38.
    Shuoguo, Wei
    et al.
    Linköping University, Department of Management and Engineering. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Real option approach to evaluate cores for remanufacturing in service markets2015In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 53, no 8, p. 2306-2320Article in journal (Refereed)
    Abstract [en]

    Acquisition of cores is important for the success of remanufacturing business, but evaluating the value of cores is difficult due to many uncertain issues in the remanufacturing system. In this paper, we examine the value of cores using the real option valuation (ROV) approach, which well captures the production flexibility and represents different operations options in remanufacturing. First, in a system where the demand of remanufactured products is low, we focus on the uncertainty of price. We compare the cases where disposing cores occurs only at the expiration time and before that. The model also identifies under which circumstances disposing core early brings in more benefit. Furthermore, we study a remanufacturing system where demand and return are both uncertain. In this case, a spread option is used for evaluating the marginal value of obtaining additional cores. This approach also brings the advantage of linking the correlation between demand and return, which in fact is often exhibited in remanufacturing. The numerical experiments indicate that this correlation has an impact on collecting policies. This study illustrates the possibility of using ROV for core pricing modelling, and the study results also provide some managerial insights in managing returned cores.

  • 39.
    Shuoguo, Wei
    et al.
    Linköping University, Department of Management and Engineering. Linköping University, The Institute of Technology.
    Tang, Ou
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.
    Liu, Weihua
    College of Management and Economics, Tianjin University, Tianjin, China.
    Refund policies for cores with quality variation in OEM remanufacturing2015In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 170, p. 629-640Article in journal (Refereed)
    Abstract [en]

    Cores are essential for the remanufacturing business. The lack of cores with proper quality is reported as a highly ranked factor that limits both third party and OEM (Original Equipment Manufacturer) remanufacturers. To encourage the return of quality cores, in practice it is common for OEMs to charge a certain amount of deposit, and refund it fully or partially depending on the quality of cores during the return process. Furthermore, the core quality varies and leads to different remanufacturing costs. The core refund policy should reflect such differences, in order to encourage the customers to return the cores with “correct” quality. In this paper, we propose three refund policies and develop profit maximization model for the remanufacturer. Under the assumption of quality following a uniform distribution, we develop analytical solutions for the refund policies and principles for quality partition. Numerical examples indicate that the customers׳ valuation of core is an important factor influencing the return rates and the economics performance of the system as well. Multiple refund policy with a small number of quality classes already brings major advantages, even with a market where the competition for collecting cores is relatively high. The study is also extended to the cases that core quality follows an adjusted normal distribution. Credit refund policies are also studied for comparison purpose.

  • 40.
    Sundin, Erik
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Mechanical Engineering, Assembly technology.
    Tang, Ou
    Linköping University, Department of Production Economics.
    Mårtén, Elin
    Linköpings universitet.
    The Swedish Remanufacturing Industry - An Overview of Present Status and Future Potential2005In: CIRP Life Cycle Engineering Seminar 12th edition - 2005, Paper BM4 on the LCE-05 CD,2005, 2005Conference paper (Other academic)
  • 41.
    Tang, Ou
    Linköping University, Department of Production Economics.
    A Generalised Stockout Function for Continuous Production Variables2001In: Promet - Traffic - Trafico, ISSN 0353-5320, Vol. 13, no 6, p. 365-370Article in journal (Refereed)
  • 42.
    Tang, Ou
    Linköping University, Department of Production Economics.
    Application of Transforms in a Compound Demand Process2001In: Promet - Traffic - Trafico, ISSN 0353-5320, Vol. 13, no 6, p. 355-364Article in journal (Refereed)
  • 43.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics .
    Modelling stochastic lead times in a production-inventory system based on the Laplace transform method2000In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 38, no 17, p. 4217-4226Article in journal (Refereed)
    Abstract [en]

    Stochastic properties of a multi-period production-inventory system have been studied in several papers by applying the Laplace transform. However, the source of uncertainty has been limited to external demand and the production/replenishment lead time has been assumed to be constant. In this paper, we investigate the situation when the lead time is a random variable. Transform methods are again used to capture the stochastic properties of the system, such as stockout functions. With the objective of maximizing the net present value of the cash flow, we derive conditions for optimal production decisions in this system. The properties of cash outflow due to stockouts will also be discussed.

  • 44.
    Tang, Ou
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics .
    Simulated annealing in lot sizing problems2004In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 88, no 2, p. 173-181Article in journal (Refereed)
    Abstract [en]

    This paper provides a brief presentation of simulated annealing techniques and their application in lot sizing problems. By using a binary matrix to describe lot sizing decisions, it is ready to model this type of production/ inventory system as a combinatorial optimisation problem and solve it within the simulated annealing framework. Experiments are conducted in order to understand how different aspects of the algorithm, especially the annealing schedule, affect the quality of the solution. (C) 2003 Elsevier B.V. All rights reserved.

  • 45.
    Tang, Ou
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering, Production Economics.
    Cao, Debi
    Department of Administration Engineering Keio University.
    Schvaneveldt, Shane
    Goddard School of Business and Economics Weber State University.
    Institutional perspectives on supply chain management2008In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 115, no 2, p. 261-Article in journal (Other academic)
  • 46.
    Tang, Ou
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Grubbström, Robert W.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Considering stochastic lead times in a manufacturing/remanufacturing system with deterministic demands and returns2005In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 93-4, p. 285-300Article in journal (Refereed)
    Abstract [en]

    In this paper we study a manufacturing/remanufacturing system with stochastic lead times and a constant demand. We base our approach on previous research in which we have developed models to describe an inventory system with stochastic lead times. In this paper, we first adopt this method to manufacturing/remanufacturing situations, where there are essentially two supply sources for replenishing serviceable inventory. We then provide a solution procedure when a cycle ordering policy is used. Secondly, we investigate the possibility to use a dual sourcing ordering policy in which each order is split between a manufacturing and a remanufacturing process. Finally, we compare the two ordering policies and illustrate how the lead-time patterns influence the economic consequences. (C) 2004 Elsevier B.V. All rights reserved.

  • 47.
    Tang, Ou
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Grubbström, Robert W.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    On using higher-order moments for stochastic inventory systems2006In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 104, no 2, p. 454-461Article in journal (Refereed)
    Abstract [en]

    The lead time demand in a stochastic inventory system is often simplified as a normal distribution in practice, whereas the higher-order moments are seldom applied in inventory management due to the difficulty of accessing necessary statistics tables for practitioners. In this paper, we have introduced the Bowman-Shenton formulae for calculating safety factors in modelling a compound distribution. This approximation makes it easy to implement the higher-order moment approach. Our numerical examples show that the system performance measure, in terms of service level, has been significantly improved when we use a Pearson curve, especially at a high service level. © 2005 Elsevier B.V. All rights reserved.

  • 48.
    Tang, Ou
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Grubbström, Robert W.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Planning and replanning the master production schedule under demand uncertainty2002In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 78, no 3, p. 323-334Article in journal (Refereed)
    Abstract [en]

    The Master Production Schedule (MPS) is essential in maintaining customer service levels and stabilising production planning in a Material Requirements Planning (MRP) environment. Traditionally, an MPS is derived from a demand forecast and aggregate production plan but the associated cost to cover demand uncertainty is usually not considered. Another difficulty in the MPS is its planning frequency. Frequent changes in the MPS reduce productivity whereas a long-term frozen MPS results in a poor service level and an unfavourable inventory situation. This paper first investigates the possibility to establish a method for planning the MPS under stochastic demand. Secondly, it aims to evaluate the value of replanning actions. Finally, it provides a model for estimating appropriate MPS parameters such as the length of the replanning interval and the length of the interval to freeze the plan. © 2002 Elsevier Science B.V. All rights reserved.

  • 49.
    Tang, Ou
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Grubbström, Robert W.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Rescheduling considerations for production planning using control theory2002In: International journal of industrial engineering, ISSN 1072-4761, E-ISSN 1943-670X, Vol. 9, no 3, p. 258-264Article in journal (Refereed)
    Abstract [en]

    The rescheduling problem has been addressed recently in studies of ours. The alternatives to reschedule or to stay are compared incorporating a rescheduling cost. This paper applies control theory methodology to model this type of production-inventory problem. Its objective is to evaluate the response of the system when rescheduling activities are triggered. Attempts have also been made to evaluate the rescheduling cost from the system response aspect, although these do not pretend to capture all costs of rescheduling.

  • 50.
    Tang, Ou
    et al.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    Grubbström, Robert W.
    Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
    The detailed coordination problem in a two-level assembly system with stochastic lead times2003In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 81-82, p. 415-429Article in journal (Other academic)
    Abstract [en]

    In this paper, we study the detailed coordination problem in a two-level assembly system with stochastic lead times for lower-level items and constant and deterministic demand for the finished item. General formulae are developed for solving the optimal planned lead times with the objective to minimise total stockout and inventory holding costs. Consequently, we obtain the optimal safety lead time, which is the difference between planned and expected lead time. A solution procedure for the optimal planned lead times is discussed. Numerical examples are then given to illustrate the model. Moreover, the influence of the mean value and variance of actual lead times on the system performance and optimal control variables (such as the total cost of the system and planned lead times) is studied using our numerical results. © 2002 Elsevier Science B.V. All rights reserved.

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