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Supply chain coordination of incomplete preventive maintenance service based on multimedia remote monitoring

  • Yaqi Zhang
  • Juhong Chen
Article
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Abstract

Manufacturing relies on the Internet of things and intelligent internet technology to provide users with remote monitoring services and early warning of failure, to ensure the smooth operation of the equipment. Based on this background, this paper takes equipment user (customer) and maintenance service provider (agent) consist of the two-stage maintenance service supply chain as the research object. A model is proposed for the maintenance service contracts design, optimization under decentralized decision-making and centralized decision-making. The model is developed under the assumption that there is one customer and one unique service provider who is the Original Equipment Manufacturer (OEM) and is called the agent in this paper. Besides, an extensive sensitivity analysis is performed to examine the impact on the improvement factor of the model output. Under the selective maintenance service outsourcing strategy, the agent makes the price of incomplete preventive maintenance, and the customer decides the incomplete preventive maintenance cycle and the times according to the price. Confronting the equipment failure, customer self-repair service and commitments for the loss of equipment downtime, the customer decides the optimal maintenance services prices, and the agent decides the optimal numbers and the cycles of the preventive maintenance service (equipment life).

Keywords

Incomplete preventive maintenance service Two-stage maintenance service supply chain Remote monitoring technology Decentralized decision-making Centralized decision-making 

Notes

Acknowledgments

This work was supported by the Humanities and Social Sciences Foundation of Ministry of Education Program (No.16YJC630170); the Scientific Research Project of Shaanxi Province Education Office (No.15JK1548).

References

  1. 1.
    Alam I, Perry C (2002) A customer-oriented new service development process. J Serv Mark 16(6):515–534CrossRefGoogle Scholar
  2. 2.
    Allmendinger G, Lombreglia R (2005) Four strategies for the age of smart services. Harv Bus Rev 83(10):131–145Google Scholar
  3. 3.
    Bian J, Lai KK, Hua Z (2017) Service outsourcing under different supply chain power structures. Ann Oper Res 248(1–2):1–20MathSciNetzbMATHGoogle Scholar
  4. 4.
    Chronaki CE, Vardas P (2013) Remote monitoring costs, benefits, and reimbursement: a european perspective. Europace 15(1):59–64CrossRefGoogle Scholar
  5. 5.
    Cohen MA, Zheng Y-S, Agrawal V (1997) Service parts logistics: a benchmark analysis. IIE Trans 29(8):627–639Google Scholar
  6. 6.
    Díaz VG-P, Martínez LB, Fernández JFG, Márquez AC (2012) Contractual and quality aspects on warranty: Best practices for the warranty management and its maturity assessment. Int J Qual Reliab Manag 29(3):320–348CrossRefGoogle Scholar
  7. 7.
    Garg A, Deshmukh SG (2006) Maintenance management: literature review and directions. J Qual Maint Eng 12(3):205–238CrossRefGoogle Scholar
  8. 8.
    Gregory M, Ren G (2007) Servitization in manufacturing companies. In: Cranfield Product-Service Systems Seminar, pp. 4–7Google Scholar
  9. 9.
    Hong S, Wernz C, Stillinger JD (2015) Optimizing maintenance service contracts through mechanism design theory. Appl Math Model 1:1–13Google Scholar
  10. 10.
    Hung MH, Chen KY, Ho RW, Cheng FT (2003) Development of an e-Diagnostics/Maintenance framework for semiconductor factories with security considerations. Adv Eng Inform 17(3–4):165–178CrossRefGoogle Scholar
  11. 11.
    Jackson C, Pascual R (2008) Optimal maintenance service contract negotiation with aging equipment. Eur J Oper Res 189(2):387–398MathSciNetCrossRefzbMATHGoogle Scholar
  12. 12.
    Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20(7):1483–1510CrossRefGoogle Scholar
  13. 13.
    Jin T, Tian Z, Xie M (2015) A game-theoretical approach for optimizing maintenance, spares and service capacity in performance contracting. Int J Prod Econ 161:31–43CrossRefGoogle Scholar
  14. 14.
    Öhman M, Finne M, Holmström J (2015) Measuring service outcomes for adaptive preventive maintenance. Int J Prod Econ 170:457–467CrossRefGoogle Scholar
  15. 15.
    Park M, Jung KM, Dong HP (2017) Optimal maintenance strategy under renewable warranty with repair time threshold. Appl Math Model 43:1–20MathSciNetCrossRefGoogle Scholar
  16. 16.
    Pham H, Wang H (1996) Imperfect maintenance. Eur J Oper Res 94(3):425–438CrossRefzbMATHGoogle Scholar
  17. 17.
    Shah N, Chao K-M, Godwin AN, James A (2007) An abstract knowledge based approach to diagnosis and recovery of plan failure in multi-agent systems. Adv Eng Inform 21(2):183–190CrossRefGoogle Scholar
  18. 18.
    Sun X, Zhang Q, Zhou Y (2016) Service and price decisions of a supply chain with optional after-sale service. Math Probl Eng 4:1–11MathSciNetGoogle Scholar
  19. 19.
    Wang H (2002) A survey of maintenance policies of deteriorating systems. Eur J Oper Res 139(3):469–489CrossRefzbMATHGoogle Scholar
  20. 20.
    Wang W (2010) A model for maintenance service contract design, negotiation and optimization. Eur J Oper Res 201(1):239–246CrossRefzbMATHGoogle Scholar
  21. 21.
    Wei Y, Hu Q, Xu C (2013) Ordering, pricing and allocation in a service supply chain. Int J Prod Econ 144(2):590–598CrossRefGoogle Scholar
  22. 22.
    Yan Y, Wang J, Saad W (2014) Incentives in cooperative networks: a contract-theoretic perspective. EURASIP J Wirel Commun Netw 2014(1):211CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Economics and ManagementXi’an University of TechnologyXi’anChina

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