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).
Incomplete preventive maintenance service Two-stage maintenance service supply chain Remote monitoring technology Decentralized decision-making Centralized decision-making
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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).
Alam I, Perry C (2002) A customer-oriented new service development process. J Serv Mark 16(6):515–534CrossRefGoogle Scholar
Allmendinger G, Lombreglia R (2005) Four strategies for the age of smart services. Harv Bus Rev 83(10):131–145Google Scholar
Bian J, Lai KK, Hua Z (2017) Service outsourcing under different supply chain power structures. Ann Oper Res 248(1–2):1–20MathSciNetMATHGoogle Scholar
Chronaki CE, Vardas P (2013) Remote monitoring costs, benefits, and reimbursement: a european perspective. Europace 15(1):59–64CrossRefGoogle Scholar
Cohen MA, Zheng Y-S, Agrawal V (1997) Service parts logistics: a benchmark analysis. IIE Trans 29(8):627–639Google Scholar
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
Garg A, Deshmukh SG (2006) Maintenance management: literature review and directions. J Qual Maint Eng 12(3):205–238CrossRefGoogle Scholar
Gregory M, Ren G (2007) Servitization in manufacturing companies. In: Cranfield Product-Service Systems Seminar, pp. 4–7Google Scholar
Hong S, Wernz C, Stillinger JD (2015) Optimizing maintenance service contracts through mechanism design theory. Appl Math Model 1:1–13Google Scholar
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