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Two-stage renewing warranty policy with the threshold of maintenance times

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  • Chun Su
  • Xiaotian Yang

Abstract

Compared with non-renewing warranty, renewing warranty is more attractive to the customers. To reduce the possible cost pressure of the manufacturers, this study proposes a novel two-stage renewing warranty model with a threshold of maintenance times. Based on a preset allocation ratio, the warranty period is divided into two stages, i.e. the renewing warranty stage and the minimal repair warranty stage. In the first stage, when the number of maintenance actions exceeds the given threshold, the failed item will be replaced with a new one and attached with a new warranty period; otherwise, the product will enter the second stage when its operating time exceeds the time span of the renewing warranty stage. When the product fails in the second stage, only minimal repair is performed. On this basis, four types of maintenance schemes are proposed, and the corresponding warranty cost and profit models are developed to optimise the warranty policy. A numerical example is provided to illustrate the effectiveness of the proposed model, and sensitivity analysis is conducted. The results show that by considering the threshold of maintenance times, the warranty cost can be reduced and the manufacturer's expected profit can be improved simultaneously.

Suggested Citation

  • Chun Su & Xiaotian Yang, 2021. "Two-stage renewing warranty policy with the threshold of maintenance times," International Journal of Production Research, Taylor & Francis Journals, vol. 59(20), pages 6210-6222, October.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:20:p:6210-6222
    DOI: 10.1080/00207543.2020.1808260
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    Cited by:

    1. Dai, Anshu & Wang, Xin & Li, Yu & Li, Ting & He, Shuguang, 2023. "Design of a performance-based warranty policy with replacement–repair strategy and cumulative cost threshold," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Shang, Lijun & Liu, Baoliang & Qiu, Qingan & Yang, Li & Du, Yongjun, 2023. "Designing warranty and maintenance policies for products subject to random working cycles," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    3. Qiao, Peirui & Ma, Yizhong & Luo, Ming & Shen, Jingyuan & Zhou, Hanting, 2024. "Reliability modeling and warranty optimization for products with self-healing under a dynamic shock environment," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    4. Safaei, Fatemeh & Taghipour, Sharareh, 2022. "Optimal preventive maintenance for repairable products with three types of failures sold under a renewable hybrid FRW/PRW policy," Reliability Engineering and System Safety, Elsevier, vol. 223(C).

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