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Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network

Chen, Zhihua and Ming, Xinguo and Vareilles, Elise and Battaïa, Olga Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network. (2020) Computers in Industry, 123. 103302. ISSN 0166-3615

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Official URL: https://doi.org/10.1016/j.compind.2020.103302


Modularization of smart product service (SPS) emerges as a priority strategy to agilely satisfy the dynamic customization requirement and to flexibly response to the rapid market change. Compared with the traditional product service, the SPS have more complicated interactions between the service components due to the novel characteristics caused by the application of smart technologies. The SPS modularization presents great differences from the identification of service component, correlation evaluation and module partition with the traditional product service modularization. However, most the existing research mainly focuses on the context of traditional product service, while containing scant study of smart product service. Therefore, this study proposes a hybrid framework for SPS modularization. In the framework, a cyber-physical product service blueprint is firstly proposed to represent the SPS operation process and identify the SPS components. Then, a rough-fuzzy correlation matrix is presented to determine the comprehensive interdependence between all pairs of SPS components with fully considering the hybrid decision uncertainties involved in the evaluation process, i.e., intrapersonal linguistic vagueness and interpersonal preference diversity. After that, the complex network theory is used to construct the SPS network and a modified Girvan-Newman algorithm is adopted for the SPS module partition. Finally, an illustrative modularization case of smart gearbox maintenance service and some caparisons with other methods demonstrate the feasibility and validity of the proposed approach.

Item Type:Article
HAL Id:hal-02949078
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > KEDGE Business School (FRANCE)
Other partners > Shanghai Jiao Tong University - SJTU (CHINA)
Laboratory name:
Deposited On:25 Sep 2020 10:44

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