期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 279, 期 1, 页码 68-78出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2019.03.042
关键词
Applied probability; Free-repair warranty; Preventive maintenance; Generalized Polya process; Optimal PM schedule
资金
- Ministry of Science and Technology of Taiwan
- MOST [105-2221-E-025-004-MY3]
- Natural Sciences and Engineering Research Council of Canada [RGPIN197319]
This paper focuses on analyzing the cost behavior of a free-repair warranty (FRW) policy with a preventive maintenance (PM) schedule for a complex product. We utilize a generalized Polya process to model the more general failure and repairs during the FRW coverage period. The expected cost function of the FRW with PMs is derived. We firstly prove that a unique optimal PM schedule exists for a FRW with a finite number of PMs, and then propose a search algorithm for computing the optimal number of PMs and their implementation times for a given FRW coverage period. A certain amount of numerical analysis is conducted to gain further insights into the FRW with PMs. Owing to the significant cost-saving advantages of scheduling PMs for the FRW, our study offers an important analytical tool for marketing managers in the design of more competitive and cost-effective warranty policies for complex and durable products. (C) 2019 Published by Elsevier B.V.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据