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Minimizing total weighted tardiness and delivery costs with batch delivery capacity constraints

عنوان مقاله: Minimizing total weighted tardiness and delivery costs with batch delivery capacity constraints
شناسه ملی مقاله: IIEC13_335
منتشر شده در سیزدهمین کنفرانس بین المللی مهندسی صنایع در سال 1395
مشخصات نویسندگان مقاله:

Mohammad Mahdavi Mazdeh - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Amirhossein Noroozi - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

خلاصه مقاله:
In this paper, we consider coordinating the supply chainscheduling problem and batch delivery in a flow shopmanufacturing system. The problem is to minimize the sumof weighted tardiness penalties and the delivery costs of thejobs, where the jobs are delivered in batches. A mixedinteger programming model is proposed for the problem. Inaddition, a particle swarm optimization algorithm is usedfor solving the large-scale instances. To explore and tolocate the algorithm in a better neighborhood, a LocalSearch is presented. To verify the developed model andevaluate the performance of algorithm against the exactsolution, a commercial solver is used. Furthermore, theinfluence of the different parameters and assumptions of theproposed model are discussed.

کلمات کلیدی:
Integrated Production-Distribution, Batch delivery, particle swarm optimization algorithm, Local Search

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/648770/