Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms

This paper addresses the optimization of economic lot scheduling problem, where multiple items are produced on a single machine in a cyclical pattern. It is assumed that each item can be produced more than once in every cycle, each product has a shelf-life restriction, and backordering is permitted....

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Main Authors: Mohammadi, M., Musa, S.N., Bahreininejad, A.
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.um.edu.my/13875/1/Optimization_of_economic_lot_scheduling_problem_with.pdf
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author Mohammadi, M.
Musa, S.N.
Bahreininejad, A.
author_facet Mohammadi, M.
Musa, S.N.
Bahreininejad, A.
author_sort Mohammadi, M.
collection UM
description This paper addresses the optimization of economic lot scheduling problem, where multiple items are produced on a single machine in a cyclical pattern. It is assumed that each item can be produced more than once in every cycle, each product has a shelf-life restriction, and backordering is permitted. The aim is to determine the optimal production rate, production frequency, cycle time, as well as a feasible manufacturing schedule for the family of items, and to minimize the long-run average costs. Efficient search procedures are presented to obtain the optimum solutions by employing four well-known metaheuristic algorithms, namely genetic algorithm (GA), particle swarm optimization (PSO), simulated annealing (SA), and artificial bee colony (ABC). Furthermore, to make the algorithms more effective, Taguchi method is employed to tune various parameters of the proposed algorithms. The computational performance and statistical optimization results show the effectiveness and superiority of the metaheuristic algorithms over other reported methods in the literature. (C) 2014 Elsevier Inc. All rights reserved.
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spelling um.eprints-138752015-08-06T02:37:50Z http://eprints.um.edu.my/13875/ Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms Mohammadi, M. Musa, S.N. Bahreininejad, A. T Technology (General) TJ Mechanical engineering and machinery This paper addresses the optimization of economic lot scheduling problem, where multiple items are produced on a single machine in a cyclical pattern. It is assumed that each item can be produced more than once in every cycle, each product has a shelf-life restriction, and backordering is permitted. The aim is to determine the optimal production rate, production frequency, cycle time, as well as a feasible manufacturing schedule for the family of items, and to minimize the long-run average costs. Efficient search procedures are presented to obtain the optimum solutions by employing four well-known metaheuristic algorithms, namely genetic algorithm (GA), particle swarm optimization (PSO), simulated annealing (SA), and artificial bee colony (ABC). Furthermore, to make the algorithms more effective, Taguchi method is employed to tune various parameters of the proposed algorithms. The computational performance and statistical optimization results show the effectiveness and superiority of the metaheuristic algorithms over other reported methods in the literature. (C) 2014 Elsevier Inc. All rights reserved. 2015-01-15 Article PeerReviewed application/pdf en http://eprints.um.edu.my/13875/1/Optimization_of_economic_lot_scheduling_problem_with.pdf Mohammadi, M. and Musa, S.N. and Bahreininejad, A. (2015) Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms. Applied Mathematics and Computation, 251. pp. 404-422. ISSN 0096-3003, DOI https://doi.org/10.1016/j.amc.2014.11.035 <https://doi.org/10.1016/j.amc.2014.11.035>. http://www.sciencedirect.com/science/article/pii/S0096300314015586 10.1016/j.amc.2014.11.035
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Mohammadi, M.
Musa, S.N.
Bahreininejad, A.
Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
title Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
title_full Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
title_fullStr Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
title_full_unstemmed Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
title_short Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
title_sort optimization of economic lot scheduling problem with backordering and shelf life considerations using calibrated metaheuristic algorithms
topic T Technology (General)
TJ Mechanical engineering and machinery
url http://eprints.um.edu.my/13875/1/Optimization_of_economic_lot_scheduling_problem_with.pdf
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AT bahreininejada optimizationofeconomiclotschedulingproblemwithbackorderingandshelflifeconsiderationsusingcalibratedmetaheuristicalgorithms