TY - JOUR ID - 72634 TI - A Particle Swarm Optimization Approach to Joint Location and Scheduling Decisions in A Flexible Job Shop Environment JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Daliri, Hamid AU - Mokhtari, Hadi AU - Nakhai, Isa AD - Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University AD - Industrial Engineering, University of Kashan AD - Department of Industial Engineering, Faculty of Engineering, Tarbiat Modares University Y1 - 2015 PY - 2015 VL - 28 IS - 12 SP - 1756 EP - 1764 KW - flexible job shop scheduling KW - facility layout KW - transportation time KW - PSO KW - Taguchi design of experiments DO - N2 - 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. UR - https://www.ije.ir/article_72634.html L1 - https://www.ije.ir/article_72634_323ad28e2aceca6c83882372b7dcc207.pdf ER -