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Quantification in manufacturing strategy: a methodology and illustration
Linköping University, Department of Management and Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Production Economics . Linköping University, The Institute of Technology.
2006 (English)In: International Journal of Production Economics, ISSN 0925-5273, Vol. 104, no 1, 113-124 p.Article in journal (Refereed) Published
Abstract [en]

Strategic decision-making is often based on conceptual and qualitative models. Considering the vast amount of quantitative models in the literature, it is most interesting and important to explore the possibilities to expand the modelling base for decision-making with quantitative models that can provide deeper analysis, new insights and allow for finer sensitivity analysis. The purpose of this paper is to explore various aspects of quantification in manufacturing strategy-related issues. We review current approaches to quantitative modelling and study how quantitative models are being used and can be used for strategic decision-making in manufacturing. We create a framework and methodology for quantitative modelling for manufacturing strategy, based on market requirements, manufacturing capabilities, manufacturing actions within decision categories, and quantitative modelling approach. The framework methodology includes seven stages of quantification, for the purpose of measuring, linking, comparing, and modelling. The aim of the paper is to provide a structure that can aid in the modelling of strategic manufacturing decisions to improve the capabilities to meet market requirements.

Place, publisher, year, edition, pages
2006. Vol. 104, no 1, 113-124 p.
Keyword [en]
Manufacturing strategy; Operations; Quantitative modelling
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-14542DOI: 10.1016/j.ijpe.2005.09.004OAI: diva2:23678
Available from: 2007-05-25 Created: 2007-05-25 Last updated: 2010-06-14
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.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1108
Manufacturing Strategy, Manufacturing Capabilities, Operational Performance, Empirical Research, Contingency Factors
National Category
Production Engineering, Human Work Science and Ergonomics
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)
Available from: 2007-05-25 Created: 2007-05-25 Last updated: 2013-04-11

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