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.