Optimal design of uptime-guarantee contracts under IGFR valuations and convex costs

Hezarkhni, Behzad (2016) Optimal design of uptime-guarantee contracts under IGFR valuations and convex costs. European Journal of Operational Research . -. ISSN 0377-2217

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Abstract

An uptime-guarantee contract commits a service provider to maintain the functionality of a customer’s equipment at least for certain fraction of working time during a contracted period. This paper addresses the optimal design of uptime-guarantee contracts for the service provider when the customer’s valuation of a contract with a given guaranteed uptime level has an Increasing Generalized Failure Rate (IGFR) distribution. We first consider the case where the service provider proposes only one contract and characterize the optimal contract in terms of price as well as guaranteed uptime level assuming that the service provider’s cost function is convex. In the second part, the case where the service provider offers a menu of contracts is considered. Given the guaranteed uptime levels of different contracts in the menu, we calculate the corresponding optimal prices. We also give the necessary and sufficient conditions for the existence of optimal contract menus with positive expected profits.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/794800
Additional Information: Highlights: Model agents decision making problems under uptime-guarantee maintenance contracts. Optimize provider’s expected profit due to single contracts under IGFR valuation. Maximize profit due to contract menus under convex costs and IGFR valuations. Provide necessary and sufficient conditions for the existence of optimal contracts.
Keywords: Revenue management; Pricing; Game theory; Maintenance; Contracts; Servitization
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > Nottingham University Business School
Identification Number: 10.1016/j.ejor.2016.06.032
Depositing User: Fuller, Stella
Date Deposited: 19 Sep 2016 08:27
Last Modified: 04 May 2020 17:56
URI: https://eprints.nottingham.ac.uk/id/eprint/36958

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