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://www.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://www.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://www.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://www.numdam.org/articles/10.1051/ro/2016057/
J.A. Tompkins, J.A. White, Y.A. Bozer, E.H. Frazelle, J.M. Tanchoco and J. Trevino, Facilities planning. Wiley, New York (1996).
, An integrated approach for facility layout, P/D locations and material handling system design. Int. J. Prod. Res. 37 (1999) 683–706. | DOI | Zbl
, The dynamics of plant layout. Manage. Sci. 321 (1986) 76–86. | DOI | Zbl
, A heuristic for the dynamic facility layout problem. IIE Trans. 25 (1993) 57–63. | DOI
and , Single and Multiple Period Layout Models for Automated Manufacturing Systems. Eur. J. Oper. Res. 52 (1991) 300–314. | DOI | Zbl
and , A tabu search heuristic for the plant layout problem. INFORMS J. Comput. 94 (1997) 374–384. | DOI | Zbl
and , Genetic search and the dynamic facility layout problem. Comput. Oper. Res. 21 (1994) 955–960. | DOI | Zbl
and , Genetic search and the dynamic layout problem. Comput. Oper. Res. 27 (2000) 587–593. | DOI | Zbl
and , A simulated annealing algorithm for dynamic layout problem. Comput. Oper. Res. 28 (2001) 1403–1426. | DOI | MR | Zbl
and , Hybrid ant systems for the dynamic facility layout problem. Comput. Oper. Res. 33 (2006) 790–803. | DOI | Zbl
, and , Simulated annealing heuristics for the dynamic facility layout problem. Comput. Oper. Res. 33 (2006) 2431–2444. | DOI | MR | Zbl
, and , Dynamic From-Between Chart: a new tool for solving dynamic facility layout problems. Int. J. Ind. Syst. Eng. 1 (2006) 182–200.
, , and , An extended discrete particle swarm optimization algorithm for the dynamic facility layout problem. J. Zhejiang. Univ. Sci. A. 10 (2009) 520–529. | DOI | Zbl
and , The dynamic plant layout problem: Incorporating rolling horizons and forecast uncertainty. Omega 37 (2009) 165–177. | DOI
and , A new hybrid tabu-simulated annealing heuristic for the dynamic facility layout problem. Int. J. Prod. Res. 47 (2009) 6855–6873. | DOI | Zbl
and , New Tabu search heuristics for the dynamic facility layout problem. Int. J. Prod. Res. 50 (2012) 867–878. | DOI
, A new data structure of solution representation in hybrid ant colony optimization for large dynamic facility layout problems. Int. J. Prod. Econ. 142 (2013) 362–371 | DOI
G.Y. Chen and K.J. Rogers, Proposition of Two Multiple Criteria Models Applied to Dynamic Multi-objective Facility Layout Problem Based On Ant Colony Optimization. 2009. IEEE International Conference on Industrial Engineering and Engineering Management. Hong Kong (2009) 1553–1557.
, and , A multi-objective particle swarm optimization algorithm for unequal sized dynamic facility layout problem with pickup/drop-off locations. Int. J. Prod. Res. 50 (2012) 4279–4293. | DOI
and , Managing a new multi-objective model for the dynamic facility layout problem. Int. J. Adv. Manuf. Technol. 68 (2013) 2215–2228. | DOI
and , Water flow-like algorithm for object grouping problems. J. Chin. Inst. Ind. Eng. 24 (2007) 475–488.
and , A water-flow algorithm for flexible flow shop scheduling with intermediate buffers. J. Sched. 14 (2011) 483–500. | DOI | MR
, and , A water flow-like algorithm for manufacturing cell formation problems. Eur. J. Oper. Res. 205 (2010) 346–360. | DOI | Zbl
C.C. Chang and T.H Wu, A novel approach to determine cell formation, cell layout, and intracellular machine layout. In Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends (2012) 717–721.
and , A hybrid water flow algorithm for multi-objective flexible flow shop scheduling problems. Eng. Optim. 45 (2013), 483–502 | MR
K. Deb, Multi-objective optimization using evolutionary algorithms. Wiley and Sons Limited, New York (2001). | MR | Zbl
, and , Multi-objective optimization of curvilinear fiber shapes for laminated composite plates by using NSGA-II. Composites Part B: Engineering 45 (2013) 1071–1078. | DOI
, and , A water flow-like algorithm for manufacturing cell formation problems. Eur. J. Oper. Res. 205 (2010) 346–360 | DOI | Zbl
E. Zitzler, Evolutionary algorithms for multi objective optimization: Methods and Applications. Ph.D. thesis, Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, Germany (1999).
E. Zitzler and L. Thiele, Multi-objective optimization using evolutionary algorithms a comparative case study. In Fifth International Conference on Parallel Problem Solving. Berlin, Germany (1998) 292–301.
J.D. Schaffer, Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In Genetic algorithms and their applications: In Proc. of the first international conference on genetic algorithms. Hillsdale, NJ: Lawrence Erlbaum (1985) 93–100. | Zbl
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