2012
DOI: 10.1002/asmb.1943
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Optimizing maintenance service contracts under imperfect maintenance and a finite time horizon

Abstract: When a company decides to outsource a service, the most important reasons for doing so usually are to focus on core business, to be able to access high-quality services at lower costs, or to benefit from risk sharing. However, service contracts typically follow a structure whereby both owner and contractor attempt to maximize expected profits in a noncoordinated way. Previous research has considered supply chain coordination by means of contracts but is based on unrealistic assumptions such as perfect maintena… Show more

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Cited by 15 publications
(9 citation statements)
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“…Some other relevant references (dealing with very specific issues) are the following: [8]: maintenance contract negotiations for ageing equipment. [16]: optimising maintenance contract with imperfect information.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some other relevant references (dealing with very specific issues) are the following: [8]: maintenance contract negotiations for ageing equipment. [16]: optimising maintenance contract with imperfect information.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Outsourcing mechanism plays a vital role in today's SC, as it could bring many advantages to companies, such as better quality of service and product delivery capability improvement [22]. In apparel SC, under most circumstances, this mechanism is usually utilized by a large company in apparel SC to re-distribute their orders to a group of SMEs.…”
Section: Make-to-order Apparel Supply Chain Model With Outsourcing Mementioning
confidence: 99%
“…Wu et al (2010) studied maintenance policies for a finite life-cycle system prone to degradation and Poisson failures. Pascual, Godoy, and Figueroa (2013) optimise a maintenance outsourcing contract over a finite horizon where maintenance activities might be imperfect. There have also been a number of recent papers studying the joint optimal decisions of maintenance and production policies over a finite horizon.…”
Section: Introductionmentioning
confidence: 99%