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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University of Qom
2022-03-01
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| 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%. |
| format | Article |
| id | doaj-art-d86d1e349d8045a7b110f79bc51ba6f3 |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2022-03-01 |
| 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 |
| work_keys_str_mv | AT mahdiyousefinejadattari simulationofamultilayeredfacilitylocationmodelbycosideringqueueingtheory AT saeedkolahirandji simulationofamultilayeredfacilitylocationmodelbycosideringqueueingtheory AT anisehneishabourijami simulationofamultilayeredfacilitylocationmodelbycosideringqueueingtheory |