Integrating truck scheduling and employee rostering in a cross-docking platform - an iterative approach

Anne-Laure Ladier, G. Alpan
{"title":"Integrating truck scheduling and employee rostering in a cross-docking platform - an iterative approach","authors":"Anne-Laure Ladier, G. Alpan","doi":"10.1109/IESM.2015.7380232","DOIUrl":null,"url":null,"abstract":"In a cross-docking platform, goods are unloaded, transferred and reloaded into trucks with little or no storage in between. The crossdock truck scheduling problem addresses the hard problem of coordinating the truck operations. However, crossdock operations are mostly done manually: it is therefore important to take staffing issues into account while building the truck schedule. This article shows how a truck scheduling model and an employee timetabling and rostering model can be combined to address both problems in an integrated manner. Three approaches are compared. The sequential approach consists in sequentially solving the two problems: from the truck schedule calculated first, a workload is deduced and used as input for the employee timetabling and rostering process. The iterative approach consists in solving both problems one after another in an iterative manner until a stable point is reached. Two iterative procedures are proposed, employees-first and trucks-first.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESM.2015.7380232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In a cross-docking platform, goods are unloaded, transferred and reloaded into trucks with little or no storage in between. The crossdock truck scheduling problem addresses the hard problem of coordinating the truck operations. However, crossdock operations are mostly done manually: it is therefore important to take staffing issues into account while building the truck schedule. This article shows how a truck scheduling model and an employee timetabling and rostering model can be combined to address both problems in an integrated manner. Three approaches are compared. The sequential approach consists in sequentially solving the two problems: from the truck schedule calculated first, a workload is deduced and used as input for the employee timetabling and rostering process. The iterative approach consists in solving both problems one after another in an iterative manner until a stable point is reached. Two iterative procedures are proposed, employees-first and trucks-first.
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
在交叉对接平台中集成卡车调度和员工名册-一种迭代方法
在交叉对接平台上,货物被卸下、转移和重新装载到卡车上,中间很少或根本没有存储空间。交叉码头货车调度问题解决了货车作业协调的难题。然而,交叉码头操作大多是手动完成的:因此,在制定卡车时间表时考虑人员配备问题是很重要的。本文展示了如何将卡车调度模型和员工调度和名册模型结合起来,以集成的方式解决这两个问题。对三种方法进行了比较。顺序方法包括顺序地解决两个问题:从首先计算的卡车时间表出发,推导出工作量,并将其用作员工时间表和排班流程的输入。迭代方法包括以迭代的方式一个接一个地解决这两个问题,直到达到一个稳定的点。提出了两种迭代过程:员工优先和卡车优先。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cost and benefit analysis of supplier risk mitigation in an aerospace Supply chain Modelling project complexity driven risk paths in new product development Evaluation of control strategies for managing supply chain risks using Bayesian Belief Networks Stability around the hyper-LSP in French distribution channel: a “prey-predator” modeling Relationships between national culture and Lean Management: A literature Review
×
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