This paper proposes an integrated approach for dynamic facility layout problem considering the material handling equipment (MHE). The objectives of this problem are minimization of the fixed costs of MHE, minimization of material handling cost (MHC) and minimization of machine rearrangement costs (MRC). To be more realistic, MHE fixed costs, MRC and MHC, which might be of different importance to decision maker, are considered separately in three objective functions. An integrated model is proposed which is able to simultaneously select the MHE along with the arranging and re-arranging facilities. The model belongs to the class of multi-objective nonlinear mathematical programming models. Considering the NP-hard nature of the model and inspiring the existing water flow like algorithm, a novel Pareto-based meta-heuristic algorithm called multi-objective water flow like algorithm (MOWFA)is developed to solve the problem. We comprehensively discuss the parameter tuning of the algorithms utilizing Taguchi method. Finally, the performance of the proposed MOWFA is evaluated against two well-known meta-heuristic algorithms called non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranking genetic algorithm (NRGA). Computational results indicate the greater efficiency of the algorithm compared to the two addressed algorithms for solving the given multi-objective problem.
Accepté le :
DOI : 10.1051/ro/2016057
Mots-clés : Multi-objective dynamic facility layout problem, water flow like algorithm, manufacturing facility, material handling, Taguchi method
@article{RO_2016__50_4-5_869_0,
author = {Hosseini, Seyed Shamsodin and Seifbarghy, Mehdi},
title = {A novel meta-heuristic algorithm for multi-objective dynamic facility layout problem},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {869--890},
publisher = {EDP-Sciences},
volume = {50},
number = {4-5},
year = {2016},
doi = {10.1051/ro/2016057},
zbl = {1353.90072},
mrnumber = {3570536},
language = {en},
url = {http://archive.numdam.org/articles/10.1051/ro/2016057/}
}
TY - JOUR AU - Hosseini, Seyed Shamsodin AU - Seifbarghy, Mehdi TI - A novel meta-heuristic algorithm for multi-objective dynamic facility layout problem JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2016 SP - 869 EP - 890 VL - 50 IS - 4-5 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2016057/ DO - 10.1051/ro/2016057 LA - en ID - RO_2016__50_4-5_869_0 ER -
%0 Journal Article %A Hosseini, Seyed Shamsodin %A Seifbarghy, Mehdi %T A novel meta-heuristic algorithm for multi-objective dynamic facility layout problem %J RAIRO - Operations Research - Recherche Opérationnelle %D 2016 %P 869-890 %V 50 %N 4-5 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2016057/ %R 10.1051/ro/2016057 %G en %F RO_2016__50_4-5_869_0
Hosseini, Seyed Shamsodin; Seifbarghy, Mehdi. A novel meta-heuristic algorithm for multi-objective dynamic facility layout problem. RAIRO - Operations Research - Recherche Opérationnelle, Special issue - Advanced Optimization Approaches and Modern OR-Applications, Tome 50 (2016) no. 4-5, pp. 869-890. doi : 10.1051/ro/2016057. http://archive.numdam.org/articles/10.1051/ro/2016057/
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