Abstract
Sharing manufacturing is a new manufacturing mode based on sharing economy, which is one of the pillars of intelligent manufacturing. This paper proposes a two-sided matching model of shared manufacturing resources considering the psychological behavior of agents. We describe the definition of two-sided matching and introduce the concept of the cloud model. The preference information of agents is transformed to values according to the cloud model. We combine prospect theory and grey relational analysis to calculate the prospect values. Furthermore, an optimization model which aims to maximize the overall satisfaction degree of matching agents is established. A numerical example for the matching of providers and demanders is provided to verify the feasibility and effectiveness of the model.
Highlights
In recent years, driven by the booming mobile Internet technology, an economic model called “sharing economy” is emerging
When making decisions in prospect theory, people care more about the gap between the actual measured value and the reference point. erefore, this paper introduces the grey relational analysis method. e grey relational coefficient is used to judge the closeness of expected value eki from the demander side to the provider side to the actual measured value rkij under each indicator, so as to improve the value function in the prospect theory. e provider side uses the same calculation method for the demander side
Shared manufacturing resources are different from traditional manufacturing resources. e complexity of the transaction process and the characteristics of the manufacturing industry determine the particularity of service matching options
Summary
Driven by the booming mobile Internet technology, an economic model called “sharing economy” is emerging. E sharing of manufacturing resources which is a combination of sharing economy and manufacturing industry has become a new highlight of development. E shared manufacturing platform is the core carrier of the shared manufacturing mode, which provides users with a platform for exchanging information, trading goods, and selling services. It provides manufacturing services for bilateral markets. In order to improve the accuracy of resource matching in the shared manufacturing platform, more psychological behavior of agents should be considered. Is paper proposes a two-sided matching model of shared manufacturing resources considering psychological behavior of agents.
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