摘要
针对制造企业实施预测性维护服务时遇到的价值衡量和收益分配两个关键问题,本文以服务结果为导向,基于设备无故障运行时间构建收益模型,以客户采用预测性维护服务前后最大收益的差值衡量其价值,并利用收益共享契约和公平熵对其收益进行分配。研究结果表明:预测性维护服务可以大大提高客户和制造企业的收益;收益共享契约可以实现预测性维护服务供应链的协调;利用公平熵可以求出绝对公平下的最优收益分配系数,以及相对公平下收益分配系数的决策区间。研究结论为制造企业预测性维护服务的价值衡量及收益分配提供了理论依据。
Aiming at the two key points regarding value measurement and revenue distribution for manufacturers to imple- ment predictive maintenance service, this article buihs a revenue model based on the failure free operating period orienting towards service results. The value is measured by the difference value of maximum revenue before and after the customer adopts predictive maintenance service. Moreover, the revenue-sharing contract and equitable entropy are adopted to distribute the revenue. The research results show that predictive maintenance service can greatly improve the customer＇s and manufacturer＇s revenue; a revenue sharing contract can realize the coordination of predictive mainte- nance service supply chain; the optimal revenue distribution coefficient can be obtained by the equitable entropy under the absolute equity, and the decision interval of revenue distribution coefficient can be found under a relative equity. The conclusions provide a theoretical basis for the manufacturer to measure the value and distribute the revenue of predictive maintenance service.
作者
陈菊红
黄放
张雅琪
姚树俊
CHEN Ju-hong;HUANG Fang;ZHANG Ya-qil;YAO shu-jun(School of Economics and Management,Xi＇an University of Technology,Xi＇an 710054,China;School of Management,Xi＇an University of Finance ＆ Economics,Xi＇an 710100,China)
出处
《预测》
CSSCI
北大核心
2018年第5期69-74,共6页
Forecasting
基金
国家自然科学基金资助项目(71272117)
陕西省软科学研究计划资助项目(2016KRM032)
陕西省教育厅科学研究资助项目(15JK1283)
西安社会科学规划基金资助项目(18J19)
陕西省重点学科建设资助项目(107-00x902)
关键词
预测性维护
服务价值
收益分配
公平熵
predictive maintenance
service value
revenue distribution
equitable entropy
