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Replacement and inventory control for a multi-customer product service system with decreasing replacement costs
Liu XB(刘心报)1,3; Yang TJ(杨天吉)1,2,3,4,5; Pei J(裴军)1,3; Liao, Haitao2; Pohl, Edward A.2
作者部门数字工厂研究室
关键词OR in service industries Production service system Replacement policies Inventory control
发表期刊European Journal of Operational Research
ISSN0377-2217
2018
收录类别EI
EI收录号20183805825815
产权排序2
资助机构National Key R&D Program of China (No. 2018YFF0214704), the National Natural Science Foundation of China (Nos. 71601065, 71231004, 71690235, 71501058, 71671182, 71871080), Innovative Research Groups of the National Natural Science Foundation of China (71521001), the Humanities and Social Sciences Foundation of the Chinese Ministry of Education (No. 15YJC630097), and Anhui Province Natural Science Foundation (No. 1608085QG167) ; China Scholarship Council (CSC) during the visit of Tianji Yang (No. 201606690008) to University of Arkansas is acknowledged ; Open Research Fund Program of Key Laboratory of Process Optimization and Intelligent Decision-making (Hefei University of Technology), Chinese Ministry of Education
摘要In a Use-Oriented Product Service System, the customers pay for a particular service without owning the product, and the profitability of the service provider (usually also the owner of the product) is determined by the product availability and how replacement and inventory control are implemented. With the advances in modern sensor and wireless communication technologies, service providers can monitor the health status of each product in use and then conduct condition-based maintenance accordingly. Meanwhile, the waste of the remaining life of replaced products should also be considered in the system's operation due to the increasing concerns about environmental impact and lean production. To improve the profitability of a Use-Oriented Product Service System, we formulate a discrete-time Markov Decision Process that maximizes the long-term revenue per period. To overcome the computational challenge of this problem, we propose a sequential heuristic solution incorporating a heuristic replacement policy along with a heuristic inventory control approach to solve the integrated model. The heuristic replacement policy is derived from the optimal control policy for the subsystem of a single customer. The inventory control heuristic determines the target inventory level according to a one-period look-ahead myopic optimization policy. The performance of the proposed solution and some useful management insights are investigated in a numerical study. In addition, sensitivity analyses by varying the replacement costs, holding cost, unit service revenue and deterioration rates are also conducted.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/22755
专题数字工厂研究室
通讯作者Yang TJ(杨天吉)
作者单位1.School of Management, Hefei University of Technology, Hefei, China
2.Department of Industrial Engineering, University of Arkansas, Fayetteville
3.AR, United States
4.Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei, China
5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
6.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Liu XB,Yang TJ,Pei J,et al. Replacement and inventory control for a multi-customer product service system with decreasing replacement costs[J]. European Journal of Operational Research,2018.
APA Liu XB,Yang TJ,Pei J,Liao, Haitao,&Pohl, Edward A..(2018).Replacement and inventory control for a multi-customer product service system with decreasing replacement costs.European Journal of Operational Research.
MLA Liu XB,et al."Replacement and inventory control for a multi-customer product service system with decreasing replacement costs".European Journal of Operational Research (2018).
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