云制造模式下基于多目标非合作博弈的服务租赁定价策略

doi:10.3969/j.issn.1007-7375.2020.01.015

摘要/Abstract

摘要： 传统的制造企业通过销售产品和一定的售后服务获得利润，而在云制造模式下，关注产品质量、延长使用寿命，将产品作为服务租赁给客户成为一种新的盈利模式。本文将云服务平台中的服务提供方和服务需求方作为博弈双方，从供需Stackelberg博弈角度，结合大数据分析预测产品剩余使用寿命(remaining useful life, RUL)，建立了云制造服务平台服务租赁的双层规划模型。双层规划问题是一类具有主从递阶结构的复杂决策问题，具有NP-hard性。本文使用带精英策略的非支配排序遗传算法(nodominated sorting genetic algorithm II, NSGA-II,)对模型进行求解，并使用某刀具厂案例验证模型实用性和有效性。

关键词: 云制造, 服务租赁, 定价策略, 多目标优化

Abstract: Traditional manufactural enterprises get profit by the way of selling and after-sales services. However, in cloud manufacturing, it becomes a new earnings mode to focus on product quality, extending service life and leasing products to customers as services. The service provider and the service demand side in cloud service platform are considered as two game players. From the perspective of supply and demand Stackelberg game, a bi-level programming model for service leasing in cloud manufacturing service platform is established by combining the remaining useful life prediction which uses big data analysis technology. Bi-level programming problem involves leader-follower hierarchical complex decision making, and is NP-hard. The present model is solved by NSGA-II and a tools factory used to verify the practicability and validity of the model.

Key words: cloud manufacturing, service leasing, pricing strategy, multi-objective optimization

中图分类号:

TP391
C934

许岩, 赖朝安. 云制造模式下基于多目标非合作博弈的服务租赁定价策略[J]. 工业工程, 2020, 23(1): 112-118,133.

XU Yan, LAI Chaoan. A Strategic Analysis of Service Leasing Based on Multi-objective Non-cooperative Game in Cloud Manufacturing[J]. Industrial Engineering Journal, 2020, 23(1): 112-118,133.

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