Adapting manufacturing strategy models to assist technology strategy development

Author(s):  
A.S. Carrie ◽  
T.S. Durrani ◽  
S.M. Forbes ◽  
A. Martowidjojo
2017 ◽  
Vol 37 (2) ◽  
pp. 126-161 ◽  
Author(s):  
Thomas Lager ◽  
Peter Samuelsson ◽  
Per Storm

Purpose In the process industries, it is essential to have a well-articulated manufacturing strategy within companies. However, to facilitate manufacturing strategy development, it is important to start with a good characterisation of the material transformation system and company production capabilities. The paper aims to discuss these issues. Design/methodology/approach A grounded theory approach, with inspiration from configuration modelling, attempted to characterize the material transformation system as a set of variables. The variable development was based on a literature review and the knowledge base of five industry experts. Two exploratory mini-case studies were carried out, primarily to illustrate the use of the model, but additionally to test its industrial usability. Findings A set of 31 variables was developed, and related measures and scales were tentatively defined. Two mini-cases supported the usability of the model. The model, focussing on company generic process capabilities, is a conceptual taxonomy and the study’s theoretical contribution. Research limitations/implications The lucidity of the definitions and scales for the variables are open to further refinement, and the limited discussions of variable relationships in this study are addressed in an agenda for further research. Practical implications The model can be deployed as a facilitative instrument in the analysis of company material transformation systems and may serve as a platform in further discussions on companies’ strategy development. Originality/value The model is a new instrument for analysing company generic process capabilities and an effort to build new theory rather than to test an existing one.


Author(s):  
D R Probert ◽  
S W Jones ◽  
M J Gregory

This paper describes an approach to structuring the make or buy decision process, basing it firmly in the context of an overall manufacturing strategy. The work has been carried out jointly by the University of Cambridge Manufacturing Engineering Group and Lucas Industries. A review of the current state of ideas surrounding the linked issues of vertical integration and make or buy decisions is presented. Important features of the approach include identification of core manufacturing capabilities, assessment of the role of technology in manufacturing, the development of a cost model to support make or buy decisions and a review of the strategic implications of varying degrees of vertical integration. Further, the approach has been embodied in a practical methodology that has been applied within Lucas Aerospace. A brief review of this practical application is included.


2010 ◽  
Vol 3 (3) ◽  
pp. 11-18
Author(s):  
Anne Wilms ◽  
Stephen J. Andriole

This paper focuses on the development of a business technology strategy for a large global specialty chemicals company. The requirement was to develop a strategy that aligned with the company’s business strategy, which is not an uncommon requirement for business technology strategies in the 21st century. The expectation was that information technology (IT) would cross the operation-to-strategic chasm and start to generate some significant ROI. The paper explores the elements of the “strategic strategy” (versus an “operational strategy”) as well as ongoing challenges to make both operational and strategic technology work. The authors illustrate a number of strategy development principles that students should internalize as they assess other cases and develop their own business technology strategies.


2019 ◽  
Vol 53 (5) ◽  
pp. 1529-1550
Author(s):  
Alireza Pooya ◽  
Elaheh Valinezhd Tabrizi Moghadam

This paper provides an extended model base on the Quality Function Deployment (QFD) framework to develop a manufacturing strategy process through linking manufacturing competitive factors with organization performance. Performance factors will guarantee alignment between manufacturing strategy and organization strategy. Performance analysis using entropy methods and the improvement ratio in all stages of this model is an advantage. A further advantage of model is the quantity control of correlation between manufacturing competitive factors, which causes factors to achieve higher rank such that their development will proceed the development of other competitive factors and increase the values of selected performance factors; similarly, quantity control of the correlation between manufacturing strategy decisions will increase effectiveness of this model in prioritizing manufacturing strategy development. The proposed model in this paper is implemented in an automotive rubber profile manufacturer in Iran. The results of application of the model are provided at the end of the article.


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