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NPhard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。
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.
作者
许岩
赖朝安
XU Yan;LAI Chaoan(School of Business Administration,South China University of Technology,Guangzhou 510640,China)
出处
《工业工程》
北大核心
2020年第1期112-118,133,共8页
Industrial Engineering Journal
基金
广东省自然科学基金资助项目(2018A030313079)
广州市哲学社会科学发展“十三五”规划资助项目(2018GZYB16)
关键词
云制造
服务租赁
定价策略
多目标优化
cloud manufacturing
service leasing
pricing strategy
multi-objective optimization
