Abstract
Increased demand for a greater variety of products has forced many companies to rethink their strategies to offer more product variants without sacrificing production efficiency. In this context, research has found that such a trade-off can be properly managed by exploiting the module-based product family (MBPF) design. Over the years, active work in developing methods to design MBPFs has been carried out. Nevertheless, many of them have been created, and consequently exist, in isolation from one other. As a result, the adoption of these methods in industry and academy alike is inhibited by the seemingly broad array of material without a coherent organizing structure. To bridge this gap, this paper performs a systematic literature review and a meta-synthesis, wherein 72 methods to design MBPFs and their respective instances are connected in the form of a functional model and structured classes of design problems. These entities together serve as a meta-method for organizing the research on MBPF design, from which it was possible to identify the common underlying structure among the methods developed over the past 20 years. The main contributions of this work include: (1) constructing a functional model that connects the design methods for MBPFs; (2) suggesting structured classes of design problems that complement the functional model by cataloging the techniques meant to execute each sub-function of the model; (3) proposing a construction heuristic to build and assess functional models and classes of design problems.
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The authors do appreciate the recommendations of the reviewers and editor who dedicated their time and provided remarkable suggestions and recommendations that undoubtedly enhanced our manuscript. We also thank the Coordination for the Improvement of Higher Education Personnel (CAPES) and Brazilian National Council for Scientific and Technological Development (CNPq) for funding.
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Gauss, L., Lacerda, D.P. & Cauchick Miguel, P.A. Module-based product family design: systematic literature review and meta-synthesis. J Intell Manuf 32, 265–312 (2021). https://doi.org/10.1007/s10845-020-01572-3
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DOI: https://doi.org/10.1007/s10845-020-01572-3