Evolution Analysis of Manufacturing Supply and Demand Resource Sharing Decision-Making in Complex Assembly Platform Environment

Abstract

This paper mainly researches the resource sharing with the manufacturer as the platform leader and the supplier as the platform participant in the envi ronment of shared complex assembly platform based on cloud platform. Considering the limited rationality of the game players, the selection process and i nfluencing factors of manufacturing resource sharing strategy are stud ied b ased on evolutionary game theory. The main findings are as follows: the excess revenue of supply chain has a positive impact on promoting complex assembly resource sharing and cooperation; cooperative cost and speculative profit can reduce the probability of platform resource sharing and cooperat ion; there is an optimal proportion of excess revenue distribution whi ch makes the cooperation most likely to succeed. And then, under the conditions of maximizing their own benefit and the boundaries of available benefits, the mapping relationship between the revenue distribution coefficient and th e probability of successful cooperation is established, which is verified by numerical simulation experiments. These results can provide decision-making reference for formulating reasonable shared assembly manufacturing supply chain revenue distribution mechanism.