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International Journal of Engineering، جلد ۲۸، شماره ۱۲، صفحات ۱۷۵۶-۱۷۶۴
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
A Particle Swarm Optimization Approach to Joint Location and Scheduling Decisions in A Flexible Job Shop Environment |
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| چکیده انگلیسی مقاله |
In traditional scheduling literature, it is generally assumed that the location of facilities are predetermined and fixed in advance. However, these decisions are interrelated and may impact each other significantly. Therefore finding a schedule and facility location has become an important problem as an extension of the well-known scheduling problems. In this research we consider joint decisions on planning of machines’ layout and scheduling of jobs on each machine in a flexible job shop environment. The aim is to minimize maximum completion time. The problem is formulated as a mathematical programming model and is solved using an enhanced particle swarm optimization (PSO). Furthermore parameters of algorithm is optimized by Taguchi statistical tool. A lower bound is also devised for evaluating the results obtained. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
Hamid Daliri |
Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University
Hadi Mokhtari |
Industrial Engineering, University of Kashan
Isa Nakhai |
Department of Industial Engineering, Faculty of Engineering, Tarbiat Modares University
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| نشانی اینترنتی |
http://www.ije.ir/article_72634_323ad28e2aceca6c83882372b7dcc207.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062400.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
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