This paper proposed a meta heuristic Particle Swarm Optimization to solve unequal area for optimization problem at unstable demand of market.The paper proposed a reconfiguration of manufacturing facility to ensure optimum Material Handling Cost (MHC) and find flexible routing of parts.First a mathematical model was established with constrained, which used a triangle condition to ensure the integrity of cells.Then the natural inspirations particle swarm algorithms as metaheuristic optimization were applied on case study used for literature used seven machines with three products. The simulation shows good results and flexible flow of parts.The the cost of movements for the part (k) is directly related to the Objective Function Value as it discustred in conclusion.
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11 January 2022
3RD INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2021)
22–23 March 2021
Najaf, Iraq
Research Article|
January 11 2022
Reconfigration of manufacturing facility layout using meta heuristic particle swarm optimization Available to Purchase
Oday Obaid Husoon;
Oday Obaid Husoon
a)
1
Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel
, Al-Najaf, Iraq
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D. A. Kadhim;
D. A. Kadhim
b)
2
University of Kirkuk, North Oil Company
, Iraq
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Kamal M. H. Raheem
Kamal M. H. Raheem
c)
1
Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel
, Al-Najaf, Iraq
Search for other works by this author on:
Oday Obaid Husoon
1,a)
D. A. Kadhim
2,b)
Kamal M. H. Raheem
1,c)
1
Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel
, Al-Najaf, Iraq
2
University of Kirkuk, North Oil Company
, Iraq
AIP Conf. Proc. 2386, 050013 (2022)
Citation
Oday Obaid Husoon, D. A. Kadhim, Kamal M. H. Raheem; Reconfigration of manufacturing facility layout using meta heuristic particle swarm optimization. AIP Conf. Proc. 11 January 2022; 2386 (1): 050013. https://doi.org/10.1063/5.0067450
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