A fuzzy-QFD approach to manufacturing strategy formulation

Sourabh Devidas Kulkarni () and Priyanka Verma ()
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Sourabh Devidas Kulkarni: FORE School of Management
Priyanka Verma: National Institute of Industrial Engineering (NITIE)

OPSEARCH, 2023, vol. 60, issue 3, No 15, 1407-1432

Abstract: Abstract Modern firms adopt Advanced Manufacturing Technologies (AMTs) in the quest for their competitive success, but often end up in the huge capital investments in technology upgradations. The purpose of this work is to demonstrate firm-specific efforts to leverage AMTs through Manufacturing Strategy (MS) formulation utilizing Fuzzy-Quality Function Deployment (QFD) in selected three firms representing varying industrial context. Fuzzy-QFD is operationalized using the quantitative inputs on MS formulation such as- (1) Relative strategic importance of competitive priorities (“what”) (2) Linkage between Competitive priorities and MS elements (“what-how”). The results of Fuzzy-QFD model based MS formulation are then shared and validated on detailed discussions with the industry experts. These discussions reveal intricacies of MS formulation and its impact on business processes and operational plan. This study shows two interesting findings- first, the competitive priorities sequence (Quality-Flexibility-Delivery-Cost) for select firms differs than the classical sandcone sequence (i.e., Quality-Delivery-Flexibility-Cost). Second, even with common competitive priorities sequence, firms show the unique way of the realization of MS exhibiting the complex and idiosyncratic nature of strategic decisions. Manufacturing Managers can utilize The study provides analytically efficient and easy way to MS formulation. Further, the findings of the study can help firms to align their operational plans and AMTs as per competitive requirements.

Keywords: Manufacturing strategy; Quality function deployment (QFD); MS elements; Competitive priorities; Advanced manufacturing technology (AMT) (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12597-023-00671-y

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