Modern Manufacturing Engineering ›› 2024, Vol. 525 ›› Issue (6): 69-74.doi: 10.16731/j.cnki.1671-3133.2024.06.009

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Manufacturing service composition recommendation method based on collaboration under industrial internet environment

YUAN Dongwei1, FENG Feilong2   

  1. 1 School of Business, Northwest University of Political and Law, Xi’an 710122, China;
    2 School of Physics and Information Technology, Shaanxi Normal University, Xi’an 710119, China
  • Received:2023-08-02 Online:2024-06-18 Published:2024-07-02

Abstract: Under industrial internet environment, a manufacturing task usually consists of multiple manufacturing services, each of which is not completed independently, and the effectiveness of their collaboration is one of the key factors for success of the service composition. Firstly, based on the number of historical service invocations in the industrial internet platform, the collaboration is defined; secondly, the service cost and time measures are improved based on the collaboration; finally, manufacturing service composition recommendation method based on collaboration is proposed and the Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) is used to recommend the manufacturing service composition scheme with service quality optimization for users. The practicality and effectiveness of this algorithm are verified by comparison with three heuristic algorithms.

Key words: industrial internet, manufacturing service, Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ), service recommendation

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