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A New Service Module Partition Approach for Product Service System Based on Fuzzy Graph and Dempster-Shafer Theory of Evidence

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  • Zhen Yin
  • Qi Gao
  • Xue Ji

Abstract

Due to the personalized and diverse service needs, service scheme configuration should be more quick and flexible in the process of product service system (PSS) scheme design. Service modularization can effectively improve the service configuration efficiency and modules’ reusability. However, compared with the modularity of tangible products, the partition of service modules in the practical context is still a problem to be discussed. In this paper, a service partition approach for PSS based on the fuzzy graph and Dempster-Shafer theory of evidence is presented. Firstly, service activities correlation analysis is carried out, according to which the fuzzy graph is drawn. By setting different thresholds, the fuzzy graph is cut, and different partition results are obtained. Secondly, the evaluation indexes of customization, generalization, and technological evolution are proposed and used as evidence sources of the Dempster-Shafer theory of evidence. Through the synthesis of the evidence sources, the optimal partition scheme is got. Finally, to verify the method, a case study is illustrated through the NC machine tools module partition. And results show that the proposed method can provide specific ideas and concrete guidance of the service module partition.

Suggested Citation

  • Zhen Yin & Qi Gao & Xue Ji, 2018. "A New Service Module Partition Approach for Product Service System Based on Fuzzy Graph and Dempster-Shafer Theory of Evidence," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-14, June.
  • Handle: RePEc:hin:jnlmpe:8346859
    DOI: 10.1155/2018/8346859
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    Cited by:

    1. Yuan Chang & Xinguo Ming & Xianyu Zhang & Yuguang Bao, 2023. "Modularization Design for Smart Industrial Service Ecosystem: A Framework Based on the Smart Industrial Service Identification Blueprint and Hypergraph Clustering," Sustainability, MDPI, vol. 15(11), pages 1-33, May.

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