Abstract
In recent years, maintenance or service contracts have received significant attention due to increased profits for the service providers and reduction of cost and risk for owners through expert services provided by the service providers. There is a growing trend for asset intensive industries to outsource maintenance services of their complex assets since outsourcing maintenance through contract reduces upfront investments in infrastructure, expertise and specialised maintenance facilities. As a consequence, maintenance contracts have become a billion dollars annual business, typically, at least half of that goes into the service provider’s pocket as profit, with less than 20 % spent on the repair or replacement of item. Therefore, to make maintenance contracts more effective there is a great need for appropriate policies and also a need to develop mathematical models for cost estimation of maintenance contracts in order to balance the service provider’s profit and the owner’s total costs, and understand future costs that could be built into the contract price. Estimation of costs for such contracts is complex and it is important to the owner and the service providers for economic variability. The service provider’s profit is influenced by many factors such as the terms of the contract, reliability of item, the servicing strategies, and costs of resources needed to carryout maintenance. Three policies for maintenance contracts are proposed in this chapter considering the concepts of outsourcing assets to the service providers. Conceptual models are developed for estimating servicing costs of outsourcing through service contracts by considering time dependent failure mode.
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References
Ashgarizadeh E, Murthy DNP (2000) Service contract: a stochastic model. Math Comput Model 31:11–20
Blischke WR, Murthy DNP (2000) Reliability modelling, prediction and optimisation. Wiley, New York
Chattopadhyay G, Murthy DNP (2000) Warranty cost analysis for second-hand products. J Math Comput Model 31:81–88
Crowder MJ, Kimber AC, Smith RL, Sweeting TJ (1991) Statistical analysis of reliability data. Chapman & Hall, London
Jardine AKS (1973) Maintenance, replacement and reliability. Pitman, NewYork
Karmarkar US (1978) Future costs of service contracts for consumer durable goods. AIEE Trans 10:380–387
Murthy DNP, Yeung V (1995) Modelling and analysis of service contracts. Math Comput Model 22(10–12):219–225
Murthy DNP, Ashgarizadeh E (1995) Modelling service contracts. Presented at the INFORMS Meeting in New Orleans
Murthy DNP, Jack N (2003) Warranty and maintenance. In: Pham H (ed) Handbook of reliability engineering. Springer, London, pp 305–314
Rahman A, Chattopadhyay G (2007) Optimal service contract policies for outsourcing maintenance service of asset to the service provider. Int J Reliab Appl 8(2):183–197
Rahman A, Chattopadhyay G (2010) Modelling cost of maintenance contract for rail infrastructure. In: Proceedings of the international conference on industrial engineering and engineering management, Dhaka, Bangladesh, 9–10 Jan
Rinsaka K, Sandoh H (2006) A stochastic model on an additional warranty service contract. Comput Math Appl 51(2):179–188
Suzuki K (1985) Estimation of lifetime parameters from incomplete field data. Technometrics 27:263–272
Tarakci H, Tang K, Teyarachakul S (2007) Learning effects on maintenance outsourcing. Eur J Oper Res 192:1449–1453
Wu S (2012) Assessing maintenance contracts when preventive maintenance is outsourced. Reliab Eng Syst Saf 98:266–272
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Rahman, A., Chattopadhyay, G. (2015). Maintenance Contract. In: Long Term Warranty and After Sales Service. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-16271-3_5
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DOI: https://doi.org/10.1007/978-3-319-16271-3_5
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