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Flexibility configurations: Empirical analysis of volume and product mix flexibility
Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
2009 (English)In: Omega: The International Journal of Management Science, ISSN 0305-0483, E-ISSN 1873-5274, Vol. 37, no 4, 746-756 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we address flexibility and investigate the relationship between volume and product mix flexibility. One view of flexibility is that of being a capability in itself: another view is that of flexibility as an enabler, providing the manufacturing system with properties on which other competitive capabilities are built. In this research, the latter view of flexibility is used, where flexibility acts as a second order competitive criterion. The aim is to differentiate between two dimensions of flexibility important to the manufacturing value chain, i.e., volume and product mix flexibility, and to investigate how different flexibility configurations are related to Various manufacturing practices. A clustering research approach is used to identify groups of companies based on flexibility configurations. The groups are then analyzed with respect to characteristics and impact on operational performance. For the empirical investigation, we use empirical data from the high performance manufacturing (HPM) study, including three industries and seven countries-a total of 211 plants. We find that flexibility configurations based on high or low levels of volume and mix flexibility combinations show significant differences both in terms of operational performance, and in terms of emphasis put into different flexibility source factors.

Place, publisher, year, edition, pages
Kidlington, Oxford, United Kingdom: Pergamon Press, 2009. Vol. 37, no 4, 746-756 p.
Keyword [en]
Empirical research, Flexible manufacturing, Operations management, Survey, Value chain
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-16407DOI: 10.1016/j.omega.2008.07.004ISI: 000262063700002OAI: oai:DiVA.org:liu-16407DiVA: diva2:139526
Note

Original Publication: Mattias Hallgren and Jan Olhager, Flexibility configurations: Empirical analysis of volume and product mix flexibility, 2009, OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, (37), 4, 746-756. http://dx.doi.org/10.1016/j.omega.2008.07.004 Copyright: Elsevier Science B.V., Amsterdam. http://www.elsevier.com/

Available from: 2009-02-09 Created: 2009-01-23 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Manufacturing Strategy, Capabilities and Performance
Open this publication in new window or tab >>Manufacturing Strategy, Capabilities and Performance
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This dissertation addresses the topic of manufacturing strategy, especially the manufacturing capabilities and operational performance of manufacturing plants. Manufacturing strategy research aims at providing a structured decision making approach to improve the economics of manufacturing and to make companies more competitive.

The overall objective of this thesis is to investigate how manufacturing companies make use of different manufacturing practices or bundles of manufacturing practices to develop certain sets of capabilities, with the ultimate goal of supporting the market requirements. The thesis aims to increase the understanding of the role of operations management and its immediate impact on manufacturing performance. Following the overall research objective three areas are identified to be of particular interest; to investigate (i) the relationship among different dimensions of operational performance, (ii) the way different performance dimensions are affected by manufacturing practices or bundles of manufacturing practices, (iii) whether there are contingencies that may help explain the relationships between dimensions of manufacturing capabilities or the effects of manufacturing practices or bundles of manufacturing practices on operational performance.

The empirical elements in this thesis use data from the High Performance Manufacturing (HPM) project. The HPM project is an international study of manufacturing plants involving seven countries and three industries.

The research contributes to several insights to the research area of manufacturing strategy and to practitioners in manufacturing operations. The thesis develops measurements for and tests the effects of several manufacturing practices on operational performance. The results are aimed at providing guidance for decision making in manufacturing companies. The most prominent implication for researchers is the manifestation of the customer order decoupling point as an important contingency variable to consider when studying manufacturing operations.

Place, publisher, year, edition, pages
Linköping: Institutionen för ekonomisk och industriell utveckling, Linköpings universitet, 2007. 33 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1108
Keyword
Manufacturing Strategy, Manufacturing Capabilities, Operational Performance, Empirical Research, Contingency Factors
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-8962 (URN)978-91-85831-72-2 (ISBN)
Public defence
2007-06-08, A1, Hus A, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2007-05-25 Created: 2007-05-25 Last updated: 2013-04-11

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Hallgren, MattiasOlhager, Jan

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