Machines and AGVs Scheduling in Flexible Manufacturing System With Mean Tardiness Criterion

M. Nageswararao, K. Narayanarao, G. Ranagajanardhana
{"title":"Machines and AGVs Scheduling in Flexible Manufacturing System With Mean Tardiness Criterion","authors":"M. Nageswararao, K. Narayanarao, G. Ranagajanardhana","doi":"10.11127/IJAMMC.2014.08.04","DOIUrl":null,"url":null,"abstract":"Optimum Automated Guided Vehicles (AGVs) operation plays a crucial role in improving the performance of Flexible Manufacturing System (FMS). One of the main elements in the implementation of AGV is task scheduling. This will enhance the productivity, Minimize delivery cost and optimally utilize the entire fleet. This enhance article Deals with Hybrid Genetic Vehicle Heuristic Algorithm (HGVHA) for simultaneous Scheduling of machines and AGVs adopting minimization of makespan and minimization of mean tardiness. The method is found to provide better solution.","PeriodicalId":207087,"journal":{"name":"International Journal of Advanced Materials Manufacturing and Characterization","volume":"187 1‐2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Materials Manufacturing and Characterization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11127/IJAMMC.2014.08.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Optimum Automated Guided Vehicles (AGVs) operation plays a crucial role in improving the performance of Flexible Manufacturing System (FMS). One of the main elements in the implementation of AGV is task scheduling. This will enhance the productivity, Minimize delivery cost and optimally utilize the entire fleet. This enhance article Deals with Hybrid Genetic Vehicle Heuristic Algorithm (HGVHA) for simultaneous Scheduling of machines and AGVs adopting minimization of makespan and minimization of mean tardiness. The method is found to provide better solution.
基于平均延迟准则的柔性制造系统机械与agv调度
自动导引车(agv)的优化运行对于提高柔性制造系统(FMS)的性能起着至关重要的作用。在AGV的实现中,任务调度是一个重要的组成部分。这将提高生产效率,最大限度地降低交货成本,并充分利用整个车队。本文采用最大完工时间最小化和平均延迟最小化的方法,研究了混合遗传车辆启发式算法(HGVHA)在机器和agv同时调度中的应用。该方法是一种较好的解决方法。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信