Distributed Scheduling Problem Considering Network Configuration and Transportation Costs

  • سال انتشار: 1401
  • محل انتشار: هشتمین کنفرانس بین المللی مهندسی صنایع و سیستم ها
  • کد COI اختصاصی: ICISE08_027
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 481
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نویسندگان

Ghazal Ziadlou

Master Student of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

Saeed Emami

Assistant Professor of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

Ebrahim Asadi-Gangraj

Associate Professor of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

چکیده

Today, with the increasing advancement of technology, in many large factories, the production of products has changed from a single-factory to a multi-factory environment. Rising customer demand and the complexity of their expectations, the ability to compete with other competitors in delivering products, as well as lower production costs in such manufacturing environments, are among the factors that have forced many factories to distribute their manufacturing in several production units in recent years. Therefore, production planning and scheduling in such conditions are very important. In fact, in distributed production environments, each factory can be considered as a separate entity that includes its characteristics, limitations, and performance, and this factor has made the distributed production scheduling problems more complex than the production scheduling problems for just one factory. Therefore, in this study, a mixed-integer linear programming model is presented for the distributedproduction scheduling problem considering network configuration in two echelons, in which the first and secondechelon factories have a hybrid flow shop and flexible job shop environments, respectively. The proposed biobjectivemathematical model aims to minimize the maximum completion time of jobs and transportation costsbetween echelons. The proposed model is solved for a small-size instance by GAMS software and the results arereported

کلیدواژه ها

Distributed Scheduling, Multi-factory Scheduling, Network Configuration, Transportation Costs

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