A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints

A new efficient heuristic algorithm has been developed for the dynamic facility layout problem with budget constraint (DFLPB) using optimization via simulation technique. The heuristic integrates integer programming and discrete event simulation to address DFLPB. In the proposed algorithm, the nonli...

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Main Authors: Parham Azimi, Hamid Reza Charmchi
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2012/189742
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author Parham Azimi
Hamid Reza Charmchi
author_facet Parham Azimi
Hamid Reza Charmchi
author_sort Parham Azimi
collection DOAJ
description A new efficient heuristic algorithm has been developed for the dynamic facility layout problem with budget constraint (DFLPB) using optimization via simulation technique. The heuristic integrates integer programming and discrete event simulation to address DFLPB. In the proposed algorithm, the nonlinear model of the DFLP has been changed to a pure integer programming (PIP) model. Then, the optimal solution of the PIP model has been used in a simulation model that has been designed in a similar manner as the DFLP for determining the probability of assigning a facility to a location. After a sufficient number of runs, the simulation model obtains near optimum solutions. Finally, to test the performance of the algorithm, several test problems have been taken from the literature and solved. The results show that the proposed algorithm is more efficient in terms of speed and accuracy than other heuristic algorithms presented in previous works.
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spelling doaj-art-a2dd6756ccd449e589b2de50728683e82025-02-03T01:31:48ZengWileyModelling and Simulation in Engineering1687-55911687-56052012-01-01201210.1155/2012/189742189742A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget ConstraintsParham Azimi0Hamid Reza Charmchi1Faculty of Industrial and Mechanical Engineering, Islamic Azad University of Qazvin, Daneshgah St., Nokhbegan Blvd., P.O. Box 34185141, Qazvin, IranSales Department, Iran Khodro Industrial Group, Tehran, IranA new efficient heuristic algorithm has been developed for the dynamic facility layout problem with budget constraint (DFLPB) using optimization via simulation technique. The heuristic integrates integer programming and discrete event simulation to address DFLPB. In the proposed algorithm, the nonlinear model of the DFLP has been changed to a pure integer programming (PIP) model. Then, the optimal solution of the PIP model has been used in a simulation model that has been designed in a similar manner as the DFLP for determining the probability of assigning a facility to a location. After a sufficient number of runs, the simulation model obtains near optimum solutions. Finally, to test the performance of the algorithm, several test problems have been taken from the literature and solved. The results show that the proposed algorithm is more efficient in terms of speed and accuracy than other heuristic algorithms presented in previous works.http://dx.doi.org/10.1155/2012/189742
spellingShingle Parham Azimi
Hamid Reza Charmchi
A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints
Modelling and Simulation in Engineering
title A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints
title_full A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints
title_fullStr A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints
title_full_unstemmed A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints
title_short A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints
title_sort new optimization via simulation approach for dynamic facility layout problem with budget constraints
url http://dx.doi.org/10.1155/2012/189742
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