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  • 标题:A Bi-Objective Model for a Stage Shop Scheduling Problem with Human-Robot Collaboration
  • 本地全文:下载
  • 作者:Ahmad Ghasemkhani ; Reza Tavakkoli-Moghaddam ; Mahdi Hamid
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:1290-1295
  • DOI:10.1016/j.ifacol.2022.09.568
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Stage shop scheduling is a type of manufacturing problem, in which operations need to be done on a group of jobs and are separated into different phases depending on their types. The stages are carried out in a sequential order; however, the operations within each stage are carried out in any order. In other words, the operations of a stage cannot be initiated until all operations of the previous stage are completed. Human-robot collaboration has become more popular as technologies and business empowerment has brought humans and robots closer together. In this study, jobs are allocated to humans and robots by presenting a bi-objective linear model to minimize the makespan and the cost of utilizing agents in a stage shop problem. Moreover, an interactive method is used to convert the model into a single objective one. The sensitivity results show that the makespan is minimized noticeably by collaborating the human and robots.
  • 关键词:Stage shop scheduling;Human-Robot collaboration;Bi-objective model;TH method
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