Variable-Utility-Aware Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms

Abstract

The Industrial Internet platform-based manufacturing service collaboration has made it possible for decentralized manufacturing enterprises to cooperate on a broad scale. The selection conflict problem may arise when many providers choose the same task at the same time, especially when there are more providers than consumers. At this moment, how to choose the appropriate manufacturing services, which should both satisfy the users’ requirements and enhance the participation of the providers, is of utmost importance. To increase the number of collaboration chances, the functional and quantitative manufacturing service collaboration is carried out simultaneously in this article. The variable utility models are used to represent the satisfaction levels of users while taking into account the bilateral coupling between providers and consumers and the unilateral irrationality of the provider. Finally, it is advised to choose providers with a short-term preference in situations where there is a strict time limit based on the findings and analysis of the manufacturing service collaboration optimization. At the same time, we can find that the providers, who get lower utilities when they focus on the current, are more likely to get greater utilities than others when they concentrate on long-term gains.

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