荷兰疏浚行业的维修物流

A. Veenstra, R. Zuidwijk, B. Geerling
{"title":"荷兰疏浚行业的维修物流","authors":"A. Veenstra, R. Zuidwijk, B. Geerling","doi":"10.1109/SOLI.2006.329043","DOIUrl":null,"url":null,"abstract":"This paper explores the benefits of supply chain collaboration in the dredging industry. More specifically, it looks at maintenance management in the dredging industry and the logistic consequences of different maintenance policies. The research uses a simulation model of a clearly identifiable component in a dredging vessel and the related spare parts supply chain. Various maintenance policies, such as predictive maintenance and condition based monitoring are analyzed for their impact on the spare part supply chain in terms of stock keeping, order fulfillment and productivity of the dredging vessel. The model shows that both parties could indeed benefit from more collaboration as this would result in reduced costs and increased production output","PeriodicalId":325318,"journal":{"name":"2006 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Maintenance logistics in the Dutch Dredging Industry\",\"authors\":\"A. Veenstra, R. Zuidwijk, B. Geerling\",\"doi\":\"10.1109/SOLI.2006.329043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores the benefits of supply chain collaboration in the dredging industry. More specifically, it looks at maintenance management in the dredging industry and the logistic consequences of different maintenance policies. The research uses a simulation model of a clearly identifiable component in a dredging vessel and the related spare parts supply chain. Various maintenance policies, such as predictive maintenance and condition based monitoring are analyzed for their impact on the spare part supply chain in terms of stock keeping, order fulfillment and productivity of the dredging vessel. The model shows that both parties could indeed benefit from more collaboration as this would result in reduced costs and increased production output\",\"PeriodicalId\":325318,\"journal\":{\"name\":\"2006 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOLI.2006.329043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Service Operations and Logistics, and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2006.329043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文探讨了疏浚行业供应链合作的好处。更具体地说,它着眼于疏浚行业的维护管理以及不同维护政策的物流后果。该研究使用了挖泥船和相关备件供应链中一个清晰可识别的组件的仿真模型。分析了各种维护策略,如预测性维护和基于状态的监测,以分析它们对备品备件供应链的影响,包括库存、订单履行和挖泥船的生产率。该模型表明,双方确实可以从更多的合作中受益,因为这将导致成本降低和产量增加
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Maintenance logistics in the Dutch Dredging Industry
This paper explores the benefits of supply chain collaboration in the dredging industry. More specifically, it looks at maintenance management in the dredging industry and the logistic consequences of different maintenance policies. The research uses a simulation model of a clearly identifiable component in a dredging vessel and the related spare parts supply chain. Various maintenance policies, such as predictive maintenance and condition based monitoring are analyzed for their impact on the spare part supply chain in terms of stock keeping, order fulfillment and productivity of the dredging vessel. The model shows that both parties could indeed benefit from more collaboration as this would result in reduced costs and increased production output
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Chinese Commercial Bank's Operational Risk Measurement Model on IE's Continuous Improvement Service Reliability Analysis on Logistics Network The Method of Module Partition for Product Family Structure with Applications Workforce Management and Optimization using Stochastic Network Models Coordination and Information Sharing in a Closed-Loop Supply Chain with Two-Part Tariff
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1