4.7 Article

Generalized non-renewing replacement warranty policy and an age-based post-warranty maintenance strategy

期刊

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 311, 期 2, 页码 567-580

出版社

ELSEVIER
DOI: 10.1016/j.ejor.2023.05.021

关键词

Applied probability; Repair thresholds; Non-renewing replacement warranty policy; Post-warranty optimization; Life cycle cost

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Nowadays, many warranted products are sold with repair thresholds to protect customer interests. We study a non-renewing replacement warranty policy that considers a repair number threshold and repair time threshold. The manufacturer replaces a product if the number of failures exceeds the repair number threshold or the cumulative repair time reaches the repair time threshold. We also develop an age-based post-warranty maintenance strategy, which offers a lower cost rate compared to existing strategies. Through numerical experiments, we analyze the effects of various parameters on the proposed maintenance strategy.
Nowadays, to protect the interests of customers, quite a few warranted products are sold with some kinds of repair thresholds. For example, a mobile phone manufacturer may provide a replacement service if the phone sold still cannot work after several repair attempts or the cumulative repair time reaches 7 days or 1 month. Motivated by this observation, we study a non-renewing replacement warranty policy with a repair number threshold and a repair time threshold, in which the manufacturer has responsibility for replacing a product when the number of failures is beyond the repair number threshold or the cumulative repair time reaches the repair time threshold, whichever occurs first. In addition, an age-based post -warranty maintenance strategy is developed for the non-renewing replacement warranted product, which provides a lower cost rate than the existing ones. Based on the indicator function method and renewal process theory, we derive the product's life cycle cost rate. Finally, considerable numerical experiments are carried out to show the influences of various parameters on the proposed maintenance strategy.& COPY; 2023 Elsevier B.V. All rights reserved.

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