Presenting a Model for Locating and Allocating Multi-Period Hubs and Comparing It With a Multi-Objective Imperialist Competitive Algorithm

• Autorzy: Chen Tzu-Chia , Muda Iskandar , Salman Rabia , Hussein Baydaa Abed , Uktamov Khusniddin Fakhriddinovich , Al-Muttar Mohammed Yousif Oudah

Identyfikatory

DOI

10.2478/fcds-2023-0013

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

hub allocation; stability; location; full coverage; flexible coverage radius

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2023
• Tom: Vol. 48, No. 3
• Strony: 331--344
• Opis fizyczny: Bibliogr. 20 poz., tab.

Twórcy

autor

Chen Tzu-Chia

• Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City 24301, Taiwan

• https://orcid.org/0000-0002-2942-7839

autor

Muda Iskandar

• Department of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, Medan, Indonesia, 20222, Jl. Prof TM Hanafiah 12, USU Campus, Padang bulan, Medan, Indonesia

• https://orcid.org/0000-0001-6478-9934

autor

Salman Rabia

• Postdoctoral Fellow, School of Management, Universiti Sains Malaysia, Penang Malaysia

• https://orcid.org/0000-0002-7571-7028

autor

Hussein Baydaa Abed

• Al-Manara College For Medical Sciences, Misan, Iraq

• https://orcid.org/0000-0003-0224-7552

autor

Uktamov Khusniddin Fakhriddinovich

• Department, Tashkent State University of Economics, 100066, Tashkent city, Islam Karimov street 49, Uzbekisktan

• https://orcid.org/0000-0002-1882-2243

autor

Al-Muttar Mohammed Yousif Oudah

• Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq

• https://orcid.org/0000-0002-0438-3614

Bibliografia

• [1] Davidson M. G., Elgie S., Parsons S., Young T. J., Production of HMF, FDCA and their derived products: a review of life cycle assessment (LCA) and techno-economic analysis (TEA) studies, Green Chemistry, 23, 9, 2021, 3154-3171.
• [2] Hepburn C., Qi Y., Stern N., Ward B., Xie C., Zenghelis D., Towards carbon neutrality and China's 14th Five-Year Plan: Clean energy transition, sustainable urban development, and investment priorities, Environmental Science and Ecotechnology, 8, 2021, 100130.
• [3] Willey L. C., Salmon J. L., A method for urban air mobility network design using hub location and subgraph isomorphism, Transportation Research Part C: Emerging Technologies, 125, 2021, 102997.
• [4] Farahani R. Z., Hekmatfar M., Arabani A. B., Nikbakhsh E., Hub location problems: A review of models, classification, solution techniques, and applications. Computers & industrial engineering, 64, 4, 2013, 1096-1109.
• [5] Goli A., Malmir B., A covering tour approach for disaster relief locating and routing with fuzzy demand, International Journal of Intelligent Transportation Systems Research, 18, 1, 2020, 140-152.
• [6] Goli A., Zare H. K., Tavakkoli-Moghaddam R., Sadeghieh A., Application of robust optimization for a product portfolio problem using an invasive weed optimization algorithm, Numerical Algebra, Control & Optimization, 9, 2, 2019, 187.
• [7] Goli A., Tirkolaee E. B., Aydın N. S., Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors, IEEE transactions on fuzzy systems, 29, 12, 2021, 3686-3695.
• [8] Gelareh S., Monemi R. N., Nickel S., Multi-period hub location problems in transportation, Transportation Research Part E: Logistics and Transportation Review, 75, 2015, 67-94.
• [9] Pahlevan S. M. Hosseini S. M. S., Goli A., Sustainable supply chain network design using products’ life cycle in the aluminum industry, Environmental Science and Pollution Research, 2021, 1-25.
• [10] Goli A., Zare H. K., Moghaddam R., Sadeghieh A., A comprehensive model of demand prediction based on hybrid artificial intelligence and metaheuristic algorithms: a case study in dairy industry, 11, 2018, 190-203.
• [11] Goli A., Khademi-Zare H., Tavakkoli-Moghaddam R., Sadeghieh A., Sasanian M., Malekalipour Kordestanizadeh R., An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study, Network: computation in neural systems, 32, 1, 2021, 1-35.
• [12] Gelareh S., Hub location models in public transport planning (Doctoral dissertation, Technische Universität Kaiserslautern), 2008.
• [13] Alumur S., Kara B. Y., Network hub location problems: the state of the art, European journal of operational research, 190, 1, 2008, 1-21.
• [14] Contreras I., Cordeau J. F., Laporte G., The dynamic uncapacitated hub location problem, Transportation Science, 45, 1, 2011, 18-32.
• [15] Teymourian E., Sadeghi A., Taghipourian F., A dynamic virtual hub location problem in airline networks-formulation and metaheuristic solution approaches, In First International Technology Management Conference (pp. 1061-1068). IEEE. 2011
• [16] Monemi R. N., Gelareh S., Nagih A., Maculan N., Danach, K., Multi-period hub location problem with serial demands: A case study of humanitarian aids distribution in Lebanon, Transportation Research Part E: Logistics and Transportation Review, 149, 2021, 102201.
• [17] Sener N., Feyzioglu O., Multiple allocation hub covering flow problem under uncertainty, Annals of Operations Research, 2022, 1-23.
• [18] Tirkolaee E. B., Goli A., Ghasemi P., Goodarzian F., Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms, Journal of Cleaner Production, 333, 20221, 30056.
• [19] Goli A., Mohammadi H., Developing a sustainable operational management system using hybrid Shapley value and Multimoora method: case study petrochemical supply chain, Environment, Development and Sustainability, 24, 9, 2022, 10540-10569.
• [20] Alinaghian M., Goli A., Location, allocation and routing of temporary health centers in rural areas in crisis, solved by improved harmony search algorithm, International journal of computational intelligence systems, 10, 1, 2017, 894-913.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).