Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm
Recently, air pollution has received much attention as a result of reflections on environmental issues. Accordingly, the hub location problem (HLP) seeks to find the optimal location of hub facilities and allocate points for them to meet the demands between source-destination pairs. Thus, in this st...
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| Format: | Article |
| Language: | English |
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Sciendo
2023-09-01
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| Series: | Foundations of Computing and Decision Sciences |
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| Online Access: | https://doi.org/10.2478/fcds-2023-0013 |
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| author | Chen Tzu-Chia Muda Iskandar Salman Rabia Hussein Baydaa Abed Uktamov Khusniddin Fakhriddinovich Al-Muttar Mohammed Yousif Oudah |
| author_facet | Chen Tzu-Chia Muda Iskandar Salman Rabia Hussein Baydaa Abed Uktamov Khusniddin Fakhriddinovich Al-Muttar Mohammed Yousif Oudah |
| author_sort | Chen Tzu-Chia |
| collection | DOAJ |
| description | Recently, air pollution has received much attention as a result of reflections on environmental issues. Accordingly, the hub location problem (HLP) seeks to find the optimal location of hub facilities and allocate points for them to meet the demands between source-destination pairs. Thus, in this study, decisions related to location and allocation in a hub network are reviewed and a multi-objective model is proposed for locating and allocating capacity-building facilities at different time periods over a planning horizon. The objective functions of the model presented in this study are to minimize costs, reduce air pollution by diminishing fuel consumption, and maximize job opportunities. In order to solve the given model, the General Algebraic Modeling System (GAMS) along with innovative algorithms are utilized. The results presented a multi-objective sustainable model for full-covering HLP, and provided access to a hub network with minimum transport costs, fuel consumption, and GHG (greenhouse gas) emissions, and maximum job opportunities in each planning horizon utilizing MOICA (multi-objective imperialist competitive algorithm) and GAMS to solve the proposed model. The study also assessed the performance of the proposed algorithms with the aid of the QM, MID, SM, and NSP indicators, acquired from comparing the proposed meta-heuristic algorithm based on some indicators, proving the benefit and efficiency of MOICA in all cases. |
| first_indexed | 2024-03-07T21:33:52Z |
| format | Article |
| id | doaj.art-a25a7851c6dc4a168ef99b4e931f5d08 |
| institution | Directory Open Access Journal |
| issn | 2300-3405 |
| language | English |
| last_indexed | 2024-03-07T21:33:52Z |
| publishDate | 2023-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Foundations of Computing and Decision Sciences |
| spelling | doaj.art-a25a7851c6dc4a168ef99b4e931f5d082024-02-26T14:29:52ZengSciendoFoundations of Computing and Decision Sciences2300-34052023-09-0148333134410.2478/fcds-2023-0013Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive AlgorithmChen Tzu-Chia0Muda Iskandar1Salman Rabia2Hussein Baydaa Abed3Uktamov Khusniddin Fakhriddinovich4Al-Muttar Mohammed Yousif Oudah51Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City24301, Taiwan2Department of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, Medan, Indonesia, 20222, Jl. Prof TM Hanafiah 12, USU Campus, Padang bulan, Medan, Indonesia3Postdoctoral Fellow, School of Management, Universiti Sains Malaysia, PenangMalaysia4Al-Manara College For Medical Sciences, Misan, Iraq5Senior teacher at “Economic security” Department, Tashkent State University of Economics, 100066, Tashkent city, Islam Karimov street 49, Uzbekisktan6Scientific Research Center, Al-Ayen University, Thi-Qar, IraqRecently, air pollution has received much attention as a result of reflections on environmental issues. Accordingly, the hub location problem (HLP) seeks to find the optimal location of hub facilities and allocate points for them to meet the demands between source-destination pairs. Thus, in this study, decisions related to location and allocation in a hub network are reviewed and a multi-objective model is proposed for locating and allocating capacity-building facilities at different time periods over a planning horizon. The objective functions of the model presented in this study are to minimize costs, reduce air pollution by diminishing fuel consumption, and maximize job opportunities. In order to solve the given model, the General Algebraic Modeling System (GAMS) along with innovative algorithms are utilized. The results presented a multi-objective sustainable model for full-covering HLP, and provided access to a hub network with minimum transport costs, fuel consumption, and GHG (greenhouse gas) emissions, and maximum job opportunities in each planning horizon utilizing MOICA (multi-objective imperialist competitive algorithm) and GAMS to solve the proposed model. The study also assessed the performance of the proposed algorithms with the aid of the QM, MID, SM, and NSP indicators, acquired from comparing the proposed meta-heuristic algorithm based on some indicators, proving the benefit and efficiency of MOICA in all cases.https://doi.org/10.2478/fcds-2023-0013hub allocationstabilitylocationfull coverageflexible coverage radius |
| spellingShingle | Chen Tzu-Chia Muda Iskandar Salman Rabia Hussein Baydaa Abed Uktamov Khusniddin Fakhriddinovich Al-Muttar Mohammed Yousif Oudah Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm Foundations of Computing and Decision Sciences hub allocation stability location full coverage flexible coverage radius |
| title | Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm |
| title_full | Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm |
| title_fullStr | Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm |
| title_full_unstemmed | Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm |
| title_short | Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm |
| title_sort | presenting a model for locating and allocating multi period hubs and comparing it with a multi objective imperialist competitive algorithm |
| topic | hub allocation stability location full coverage flexible coverage radius |
| url | https://doi.org/10.2478/fcds-2023-0013 |
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