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Module-based product family design: systematic literature review and meta-synthesis

Author

Listed:
  • Leandro Gauss

    (Universidade do Vale do Rio dos Sinos)

  • Daniel P. Lacerda

    (Universidade do Vale do Rio dos Sinos)

  • Paulo A. Cauchick Miguel

    (Universidade Federal de Santa Catarina)

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.

Suggested Citation

  • Leandro Gauss & Daniel P. Lacerda & Paulo A. Cauchick Miguel, 2021. "Module-based product family design: systematic literature review and meta-synthesis," Journal of Intelligent Manufacturing, Springer, vol. 32(1), pages 265-312, January.
  • Handle: RePEc:spr:joinma:v:32:y:2021:i:1:d:10.1007_s10845-020-01572-3
    DOI: 10.1007/s10845-020-01572-3
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    References listed on IDEAS

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    Cited by:

    1. Ma, Yujie & Du, Gang & Jiao, Roger J., 2024. "Design for product upgradability considering remanufacturing outsourcing: A three-level joint optimization approach," International Journal of Production Economics, Elsevier, vol. 272(C).
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    3. Sihan Huang & Guoxin Wang & Shiqi Nie & Bin Wang & Yan Yan, 2023. "Part family formation method for delayed reconfigurable manufacturing system based on machine learning," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2849-2863, August.
    4. Bo Yang & Joane V. Serrano & Markus A. Launer & Lulu Wang & Kamran Rabiei, 2023. "A comprehensive and systematic study on the cybernetics management systems," Systemic Practice and Action Research, Springer, vol. 36(3), pages 479-504, June.

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