Remanufacturing Service Combination and Optimization for Generalized Growth of Retired Mechanical Products

doi:10.3901/JME.2023.07.339

Abstract

Abstract: Under the generalized growth-oriented remanufacturing services, the product-component-parts multi-level service objects and the upgrade, recovery and downgrade multi-granularity remanufacturing service requirements lead to the multiplication of service activities and the number of suppliers compared with traditional remanufacturing services. In this case, a remanufacturing service composition and optimization method was proposed to solve the complicated and difficult remanufacturing service composition and optimization process. Firstly, to quickly obtain multi-level and multi-granularity service scheme, remanufacturing service activities were described by semantics based on OWL-S, and service composition process was proposed to realize multi-level composition of service activities automatically. Secondly, to improve the combination and optimization efficiency of service providers, the rough-fuzzy number is used to analyze the coupling of service activities in service schemes and merge redundant service activities. Finally, to ensure the multi-party interests and environmental benefits of remanufacturing service, a remanufacturing service supplier portfolio optimization model was established with carbon emissions, time and cost as optimization objectives and solved by non-dominated ranking genetic algorithm. The feasibility and effectiveness of the proposed method were verified by taking a batch of retired manual gearbox as an example.

Key words: remanufacturing services, generalized growth-oriented remanufacturing, service composition, service optimization, carbon emission

CLC Number:

TG156

WANG Lei, GUO Yuyao, CAO Jianhua, ZHANG Zelin, XIA Xuhui, ZHAO Hui. Remanufacturing Service Combination and Optimization for Generalized Growth of Retired Mechanical Products[J]. Journal of Mechanical Engineering, 2023, 59(7): 339-354.

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