How the Imperfect E-diagnostics Impacts the Capacity Planning and Pricing Decisions of a Maintenance Service Provider

被引:1
作者
Sun, Mingyao [1 ]
Wu, Feng [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, Minist Educ Proc Control & Efficiency Engn, Key Lab, Xian 710000, Peoples R China
来源
11TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS | 2019年 / 83卷
关键词
Imperfect E-diagnostics; capacity planning; pricing; E-diagnostics depth; accelerate effect; CUSTOMER-INTENSIVE SERVICES; FRAMEWORK;
D O I
10.1016/j.procir.2019.04.093
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Providing online monitoring (E-diagnostics) has become a value-added practice for equipment maintenance service providers to improve the service quality and efficiency. However, the E-diagnostics is always imperfect, whose accuracy depends on how much components of the equipment are monitored (namely, E-diagnostics depth in our research). This research analyzes the optimal capacity planning and pricing problem by taking into account the imperfect E-diagnostics. In addition, we consider the E-diagnostics accelerate effect to the service process and attempt to find how the effect influences the service provider's decisions. Our results reveal that the optimal pricing and capacity planning decisions are dependent on customers' failure cost and service provider's compensation cost. Specifically, if customers' failure cost is larger than service provider's compensation, the service provider would improve the price as the E-diagnostics depth increases; otherwise, the price should be lowered as the E-diagnostics depth increases. In addition, we find as the accelerate effect becomes increasingly obvious, customers' expected waiting time increases but the service price decreases. (C) 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 11th CIRP Conference on Industrial Product-Service Systems
引用
收藏
页码:398 / 403
页数:6
相关论文
共 16 条
  • [1] Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services
    Anand, Krishnan S.
    Pac, M. Fazil
    Veeraraghavan, Senthil
    [J]. MANAGEMENT SCIENCE, 2011, 57 (01) : 40 - 56
  • [2] [Anonymous], 2013, MANUFACTURING SERVIC
  • [3] Chan T H, 2018, MANAGEMENT SCI
  • [4] Dai T., 2016, MANUF SERV OPER MANA, V19, P99
  • [5] Gupta S, 2012, MANAGING OPERATIONS
  • [6] Development of an e-Diagnostics/Maintenance framework for semiconductor factories with security considerations
    Hung, MH
    Chen, KY
    Ho, RW
    Cheng, FT
    [J]. ADVANCED ENGINEERING INFORMATICS, 2003, 17 (3-4) : 165 - 178
  • [7] Kurz J, 2016, WORKING PAPER
  • [8] Capacity planning for a maintenance service provider with advanced information
    Kurz, Julian
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 251 (02) : 466 - 477
  • [9] Quality-Speed Competition in Customer-Intensive Services with Boundedly Rational Customers
    Li, Xin
    Guo, Pengfei
    Lian, Zhaotong
    [J]. PRODUCTION AND OPERATIONS MANAGEMENT, 2016, 25 (11) : 1885 - 1901
  • [10] The impact of e-diagnostics - One year later
    Locy, M
    [J]. 2001 IEEE INTERNATIONAL SYMPOSIUM ON SEMICONDUCTOR MANUFACTURING, CONFERENCE PROCEEDINGS, 2001, : 435 - 438