Research On Predictive Operation & Maintenance Service Supply Chain Revenue Distribution Equity Based On Time-based Purchase

The predictive operation & maintenance service based on digital technology is widely concerned and utilized among enterprises. The development of service draws more and more attention to enterprises and makes them more willing to pay for the use of equipment. However,the predictive operation & maintenance service based on the right of use which combines the predictive operation & maintenance service and the use of equipment has not drawn enough attention. Thus, this paper takes time purchase which is the most common in the right to use as an example to do research on this kind of emerging service model. In this mode, equipment manufacturers participant in the daily production operations of the enterprises which are utilizing the equipment to help them reduce production costs caused by the equipment failures.At the same time, the manufactures can share the profits from the costs saved owing to their service and thus they get a win-win result. The cooperation of equipment manufactures and enterprises using the equipment is influenced by the distribution of the profits saved by the service of the manufactures. In the practices of enterprises, the distribution of benefits relies on negotiation ability of both sides of the negotiations who cannot reach an agreement in most cases. And there is a gap in the theoretical research of the predictive operation & maintenance service based on the right of use. Thus, how to evaluate the value of this emerging service mode as well as how to satisfy both the equipment manufacturers and their cooperative enterprises in order to get a win-win result is a big challenge both enterprises and academic research must face.To solve this problem, this paper focus on the servitised manufacturer's operation &maintenance supply chain from the prospect of use, study the time-based purchase operation &maintenance service supply's revenue-sharing between customer and manufacturer based on the theory of equitable entropy. First of all, the development process of the operation &maintenance service is analyzed which, pointed out that the predictive operation & maintenance service based on the right of use is the necessity of ftmire competition, and then we described the concept, classification and characteristics of the predictive operation & maintenance service based on the rnght of use. The time-based purchase operalion & maintenance service has been chosen as an example to analyze the novel sernice; Secondly, establish the two-echelon predictive operation & maintenance service supply chain revenue model based on the trouble-free operation time, furthermore the fair entropy function is used to establish the fairness revenue distribution model and the ZXJC enterprise case is used to simulate and analyze the model with management implications are obtained; Thirdly, establish the three-echelon predictive operation & maintenance service supply chain revenue model based on the trouble-free operation time, furthermore the fair entropy function is used to establish the fairness revenue distribution model and the ZXJC enterprise case is used to simulate and analyze the model with management implications are obtained; Finally, based on the comprehensive analysis about two-echelon predictive operation & maintenance service supply chain and three-echelon predictive operation & maintenance service supply chain, the management implications was given to provide reference for the equipment manufacturing enterprises to implement the predictive operation & maintenance service based on time purchase.Based on the right to use equipment, this paper establishes a supply chain revenue model based on time purchase, which is a broadening of the traditional ownership chain based supply chain revenue model, which enriches the supply chain revenue sharing research field. By introducing the equitable entropy function, the income distribution coefficient considering the fairness preference is analyzed quantitatively. The conclusion is that the service manufacturing enterprises can broaden the operation & maintenance service market and provide the theoretical reference for the further implementation of the use-based operation & maintenance service.