烧损或磨合期下采用预防性维护政策的二维保修研究

IF 1.3 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Yeu-Shiang Huang, Chih-Chiang Fang, Chia-Yu Kuo
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引用次数: 0

摘要

产品往往附有保修,这已成为一种常见的营销策略,旨在表明产品质量得到了企业的保证。保修可以吸引消费者购买,但同时也会产生保修成本,尤其是当企业谎称其产品质量高时;因此,确定适当的保修政策尤为重要。本研究考虑了复杂的可维修产品(如汽车、车床或工业机械)的二维保修,并考虑了(1)磨合(run-in)和(2)定期预防性维护(periodive preventive maintenance),前者是在产品上市前进行的有监督的加速测试过程,目的是防止有缺陷的产品在市场上销售;后者是在使用期间进行的定期预防性维护,目的是防止在正常使用条件下出现意外故障。确定最佳预烧(磨合)时间和预防性维护间隔的目的是最大限度地降低企业的保修成本。研究结果表明,在维修成本较高和婴儿死亡率较高的情况下,预防性维护的频率越高越好,而且维修成本对企业总保修成本的影响最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on two-dimensional warranty with a preventive maintenance policy under burn-in or run-in

Products are often offered with warranties, which have become a common marketing strategy intended to indicate that product quality is guaranteed by the firm. Warranties can attract consumer purchases, but they also incur warranty costs, especially when firms falsely claim that their products are high quality; therefore, the determination of an appropriate warranty policy is of particular importance. This study considers a two-dimensional warranty for complex repairable products, such as a vehicle, a lathe, or industrial machinery, with consideration of (1) burn-in (run-in), which is a supervised accelerating testing process performed before product launch to prevent defective products from being sold on the market, and (2) periodic preventive maintenance, which is performed during the usage period to prevent the occurrence of unexpected failures under normal usage conditions. The optimal burn-in (run-in) time and preventive maintenance intervals are determined with the aim of minimizing warranty costs for firms. The results of the study show that given a higher repair cost and a greater infant mortality failure rate, more frequent preventive maintenance is preferable, and the repair cost has the largest effect on the total warranty cost for the firm.

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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
67
审稿时长
>12 weeks
期刊介绍: ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process. The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.
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