Simulation of a multi-layered facility location model by cosidering queueing theory

In multi-layered facility location models, customers receive different services at different layers. When the customer enters the system, he must receive all services at different layers; in fact, the customer will not leave the system in the middle layers. In this study, we are seeking to provide a...

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Main Authors: Mahdi Yousefi Nejad Attari, Saeed Kolahi-Randji, Aniseh Neishabouri Jami
Format: Article
Language:fas
Published: University of Qom 2022-03-01
Series:مدیریت مهندسی و رایانش نرم
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Online Access:https://jemsc.qom.ac.ir/article_582_083d0d1c8f63bfdbe02e1dce1e3eeb11.pdf
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author Mahdi Yousefi Nejad Attari
Saeed Kolahi-Randji
Aniseh Neishabouri Jami
author_facet Mahdi Yousefi Nejad Attari
Saeed Kolahi-Randji
Aniseh Neishabouri Jami
author_sort Mahdi Yousefi Nejad Attari
collection DOAJ
description In multi-layered facility location models, customers receive different services at different layers. When the customer enters the system, he must receive all services at different layers; in fact, the customer will not leave the system in the middle layers. In this study, we are seeking to provide a facility location model with multiple service layers respect to the density of the system. The proposed model is a nonlinear integer programming model and it is in the field of highly complex problems. In order to solve the mathematical model, discrete event simulation approach has been used to increase efficiency. Interactions and complexities of the system, makes it difficult or impossible to predict the performance. Simulation models are able to show variability, interactions and complexities of the system. In this regard, the demand has considered as random and objective functions consist of minimization of customer’s travel time to desired facility, customer’s waiting time in queue and the possibility of unemployment of a facility which has the highest rate of unemployment. According to the results of simulation and testing 4 different scenarios, it can be stated that in scenario (4), only by adding 1 source to each available facility in the fourth layer, which is totally increasing 4 source, costumers wait time in queue will be improved about 46%.
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issn 2538-6239
2538-2675
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publisher University of Qom
record_format Article
series مدیریت مهندسی و رایانش نرم
spelling doaj-art-d86d1e349d8045a7b110f79bc51ba6f32025-01-30T20:17:56ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752022-03-0171517910.22091/jemsc.2015.582582Simulation of a multi-layered facility location model by cosidering queueing theoryMahdi Yousefi Nejad Attari0Saeed Kolahi-Randji1Aniseh Neishabouri Jami2Assistant Prof. Department of Industrial Engineering, Bonab Branch, Islamic Azad University, Bonab, IranYoung Researchers and Elite Club, Ilkhichi Branch, Islamic Azad University, Ilkhichi, IranAssistant Prof. Department of Industrial Engineering, Bonab Branch, Islamic Azad University, Bonab, IranIn multi-layered facility location models, customers receive different services at different layers. When the customer enters the system, he must receive all services at different layers; in fact, the customer will not leave the system in the middle layers. In this study, we are seeking to provide a facility location model with multiple service layers respect to the density of the system. The proposed model is a nonlinear integer programming model and it is in the field of highly complex problems. In order to solve the mathematical model, discrete event simulation approach has been used to increase efficiency. Interactions and complexities of the system, makes it difficult or impossible to predict the performance. Simulation models are able to show variability, interactions and complexities of the system. In this regard, the demand has considered as random and objective functions consist of minimization of customer’s travel time to desired facility, customer’s waiting time in queue and the possibility of unemployment of a facility which has the highest rate of unemployment. According to the results of simulation and testing 4 different scenarios, it can be stated that in scenario (4), only by adding 1 source to each available facility in the fourth layer, which is totally increasing 4 source, costumers wait time in queue will be improved about 46%.https://jemsc.qom.ac.ir/article_582_083d0d1c8f63bfdbe02e1dce1e3eeb11.pdffacilities locatingqueueing theorymulti-objective decision makingsimulation
spellingShingle Mahdi Yousefi Nejad Attari
Saeed Kolahi-Randji
Aniseh Neishabouri Jami
Simulation of a multi-layered facility location model by cosidering queueing theory
مدیریت مهندسی و رایانش نرم
facilities locating
queueing theory
multi-objective decision making
simulation
title Simulation of a multi-layered facility location model by cosidering queueing theory
title_full Simulation of a multi-layered facility location model by cosidering queueing theory
title_fullStr Simulation of a multi-layered facility location model by cosidering queueing theory
title_full_unstemmed Simulation of a multi-layered facility location model by cosidering queueing theory
title_short Simulation of a multi-layered facility location model by cosidering queueing theory
title_sort simulation of a multi layered facility location model by cosidering queueing theory
topic facilities locating
queueing theory
multi-objective decision making
simulation
url https://jemsc.qom.ac.ir/article_582_083d0d1c8f63bfdbe02e1dce1e3eeb11.pdf
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