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• W1947348064 abstract "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 paper 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 authors propose a technique that can effectively take managerial preferences and subjective data into consideration, along with quantitative factors. The tool that is proposed here relies on the use of a more effective version of the Analytical Hierarchy Process (AHP) called the Analytical Network Process (ANP) to help integrate managerial evaluations into a more quantitatively based decision tool, data envelopment analysis (DEA). In this paper, these two techniques, when used together, can provide subjective and objective evaluations for manufacturing strategy decision makers. An illustrative example provides some insights into the application of this methodology. The research contributes to several insights to the research area of manufacturing strategy and to practitioners in manufacturing operations. A model that investigates process improvement investments, assuming that alternative process improvement initiatives exist, is then presented." @default.
• W1947348064 created "2016-06-24" @default.
• W1947348064 creator A5036915064 @default.
• W1947348064 creator A5069456515 @default.
• W1947348064 creator A5077953914 @default.
• W1947348064 date "2015-04-01" @default.
• W1947348064 modified "2023-09-26" @default.
• W1947348064 title "An Unified Analytical Network Process (ANP) and Data Envelopment Analysis (DEA) Approach for Manufacturing Strategy Decision" @default.
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• W1947348064 doi "https://doi.org/10.4018/ijsds.2015040104" @default.
• W1947348064 hasPublicationYear "2015" @default.
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