政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/120870

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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/120870

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题名:	A Dynamic Failure Rate Forecasting Model for Service Parts Inventory
作者:	Chen, Ta-Yu Lin, Woo-Tsong 林我聰 Sheu, Chwen
贡献者:	資管系
关键词:	green supply chains;reverse logistics;third-party repair service providers;failure rate forecast;service parts;bathtub curve theory;Markov Decision Process
日期:	2018-07
上传时间:	2018-11-09 15:07:18 (UTC+8)
摘要:	This study investigates one of the reverse logistics issues, after-sale repair service for in-warranty products. After-sale repair service is critical to customer service and customer satisfaction. Nonetheless, the uncertainty in the number of defective products returned makes forecasting and inventory planning of service parts difficult, which leads to a backlog of returned defectives or an increase in inventory costs. Based on Bathtub Curve (BTC) theory and Markov Decision Process (MDP), this study develops a dynamic product failure rate forecasting (PFRF) model to enable third-party repair service providers to effectively predict the demand for service parts and, thus, mitigate risk impacts of over- or under-stocking of service parts. A simulation experiment, based on the data collected from a 3C (computer, communication, and consumer electronics) firm, and a sensitivity analysis are conducted to validate the proposed model. The proposed model outperforms other approaches from previous studies. Considering the number of new products launched every year, the model could yield significant inventory cost savings. Managerial and research implications of our findings are presented, with suggestions for future research.
關聯:	SUSTAINABILITY, 10(7), 2408
数据类型:	article
DOI 連結:	http://dx.doi.org/10.3390/su10072408
DOI:	10.3390/su10072408
显示于类别:	[資訊管理學系] 期刊論文

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