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Eco-modular product architecture identification and assessment for product recovery

Author

Listed:
  • Samyeon Kim

    (Nanyang Technological University)

  • Seung Ki Moon

    (Nanyang Technological University)

Abstract

In order to improve the efficiency of disassembly and product recovery of an abandoned product at the end-of-life stage, it is essential to develop modular product architecture by considering manufacturing and recovering processes in early product design stage. In this paper, a novel concept of a design methodology is introduced to develop eco-modular product architecture and assess the modularity of the architecture from the viewpoint of product recovery. Eco-modular product architecture contributes to enhancing product recovery processes by recycling and reusing modules without full disassembly at component or material levels. It leads to less consumption of natural resources and less landfill damage to the environment. Three sustainable modular drivers, namely, interface complexity, material similarity, and lifespan similarity, are introduced to reconstruct the modular architecture of commercial products into the eco-modular architecture. Alternatives of modular architectures are identified by Markov Cluster Algorithm based on these sustainable modular drivers and physical interconnections of the components of product architecture. To select the eco-modular architecture from these alternatives, we propose modularity assessment metrics to identify independent interactions between modules and the degrees of similarity within each module. To demonstrate the effectiveness of the proposed methodology, a case study is performed with a coffee maker.

Suggested Citation

  • Samyeon Kim & Seung Ki Moon, 2019. "Eco-modular product architecture identification and assessment for product recovery," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 383-403, January.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1253-7
    DOI: 10.1007/s10845-016-1253-7
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    References listed on IDEAS

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    1. Du, Gang & Jiao, Roger J. & Chen, Mo, 2014. "Joint optimization of product family configuration and scaling design by Stackelberg game," European Journal of Operational Research, Elsevier, vol. 232(2), pages 330-341.
    2. Pimmler, Thomas U. (Thomas Udo) & Eppinger, Steven D., 1994. "Integration analysis of product decompositions," Working papers 3690-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Seung Moon & Timothy Simpson & Soundar Kumara, 2010. "A methodology for knowledge discovery to support product family design," Annals of Operations Research, Springer, vol. 174(1), pages 201-218, February.
    4. Ulrich, Karl, 1995. "The role of product architecture in the manufacturing firm," Research Policy, Elsevier, vol. 24(3), pages 419-440, May.
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    Cited by:

    1. Omar Ezzat & Khaled Medini & Xavier Boucher & Xavier Delorme, 2022. "A clustering approach for modularizing service-oriented systems," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 719-734, March.

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