{"title":"随机退化系统中带回收选项的备件订购/再制造策略","authors":"H. Boudhar, M. Dahane, N. Rezg","doi":"10.1109/ETFA.2013.6647988","DOIUrl":null,"url":null,"abstract":"This article discusses the issue of spare part return in a production system with a single machine subject to a monotone and stochastic deterioration. It investigates the problem of the spare parts returns and the reusing problem of recovered part, with or without remanufacturing actions. Each recovered spare part is stocked, before being inspected and probably reused. We propose an order/remanufacturing replacement policy with an inventory management of the recovered spare parts. A condition-based maintenance policy is adopted with three decision thresholds for order management, preventive maintenance management and corrective maintenance. A genetic algorithm based approach is proposed and an illustrative example is presented to reveal the application of the proposed policy.","PeriodicalId":106678,"journal":{"name":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Order/remanufacturing policy of spare part with recovery option for stochastic deteriorating system\",\"authors\":\"H. Boudhar, M. Dahane, N. Rezg\",\"doi\":\"10.1109/ETFA.2013.6647988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article discusses the issue of spare part return in a production system with a single machine subject to a monotone and stochastic deterioration. It investigates the problem of the spare parts returns and the reusing problem of recovered part, with or without remanufacturing actions. Each recovered spare part is stocked, before being inspected and probably reused. We propose an order/remanufacturing replacement policy with an inventory management of the recovered spare parts. A condition-based maintenance policy is adopted with three decision thresholds for order management, preventive maintenance management and corrective maintenance. A genetic algorithm based approach is proposed and an illustrative example is presented to reveal the application of the proposed policy.\",\"PeriodicalId\":106678,\"journal\":{\"name\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2013.6647988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2013.6647988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Order/remanufacturing policy of spare part with recovery option for stochastic deteriorating system
This article discusses the issue of spare part return in a production system with a single machine subject to a monotone and stochastic deterioration. It investigates the problem of the spare parts returns and the reusing problem of recovered part, with or without remanufacturing actions. Each recovered spare part is stocked, before being inspected and probably reused. We propose an order/remanufacturing replacement policy with an inventory management of the recovered spare parts. A condition-based maintenance policy is adopted with three decision thresholds for order management, preventive maintenance management and corrective maintenance. A genetic algorithm based approach is proposed and an illustrative example is presented to reveal the application of the proposed policy.