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A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays, companies need to take responsibility for addressing growing markets and the growing expectations of their customers to survive in a highly competitive context that is progressing on a daily basis. Rapid economic changes and increasing competitive pressure in global markets have led companies to pay special attention to their supply chains. As a result, in this research, a mathematical model is proposed to minimize closed loop supply chain costs taking into account environmental effects. Thus, suppliers first send wood as raw materials from forests to factories. After processing the wood and turning it into products, the factories send the wood to retailers. The retailers then send the products to the customers. Finally, customers send returned products to recovery centers. After processing the products, the recovery centers send their products to the factories. The considered innovations include: designing a supply chain of wood products regarding environmental effects, customizing the genetic solution approach to solve the proposed model 3- Considering the flow of wood products and determining the amount of raw materials and products sent and received.
Rocznik
Strony
383--408
Opis fizyczny
Bibliogr. 41 poz., rys., tab.
Twórcy
  • Department of Industrial Engineering, Faculty of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran
  • Department of Logistics, Tourism and Service Management, German University of Technology in Oman (GUtech), Muscat, Oman
  • Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
  • Higher Educational Complex of Saravan, Saravan, Iran
  • Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Bibliografia
  • [1] Auer, V., Rauch, P., Wood supply chain risks and risk mitigation strategies: A systematic review focusing on the Northern hemisphere. Biomass and Bioenergy, 148, 2021, 106001.
  • [2] Vitale, I., Dondo, R.G., González, M., Cóccola, M.E., Modelling and optimization of material flows in the wood pellet supply chain. Applied Energy, 313, 2022, 118776.
  • [3] Babaeinesami, A., Tohidi, H., Ghasemi, P., Goodarzian, F., Tirkolaee, E.B., A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm. Applied Intelligence, 2022, 1-19.
  • [4] Ghasemi, P., Goodarzian, F., Gunasekaran, A., Abraham, A., A bi-level mathematical model for logistic management considering the evolutionary game with environmental feedbacks. The International Journal of Logistics Management. 2021.
  • [5] Khanchehzarrin, S., Shahmizad, M., Mahdavi, I., Mahdavi-Amiri, N., Ghasemi, P., A model for the time dependent vehicle routing problem with time windows under traffic conditions with intelligent travel times. RAIRO--Operations Research, 2021.
  • [6] Demirel, N., Özceylan, E., Paksoy, T., Gökçen, H., A genetic algorithm approach for optimising a closed-loop supply chain network with crisp and fuzzy objectives. International Journal of Production Research, 52, 12, 2014, 3637-3664.
  • [7] Paksoy, T., Özceylan, E., Environmentally conscious optimization of supply chain networks. Journal of the Operational Research Society, 65, 6, 2014, 855-872.
  • [8] Abdolazimi, O., Shishebori, D., Goodarzian, F., Ghasemi, P., Appolloni, A., Designing a new mathematical model based on ABC analysis for inventory control problem: A real case study. RAIRO-Operations Research, 55, 4, 2021, 2309-2335.
  • [9] Goli, A., Tirkolaee, E.B., Malmir, B., Bian, G.B., Sangaiah, A.K., A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand. Computing, 101, 6, 2019, 499-529.
  • [10] Shafipour-Omrani, B., Rashidi Komijan, A., Ghasemi, P., Ghasemzadeh, E., Babaeinesami, A., A simulation-optimization model for liquefied natural gas transportation considering product variety. International Journal of Management Science and Engineering Management, 16, 4, 2021, 279-289.
  • [11] Tirkolaee, E.B., Mardani, A., Dashtian, Z., Soltani, M., Weber, G. W., A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 2020, 119517.
  • [12] Ghasemi, P., Babaeinesami, A., Simulation of fire stations resources considering the downtime of machines: A case study. Journal of Industrial Engineering and Management Studies, 7, 1, 2020, 161-176.
  • [13] Tirkolaee, E.B., Goli, A., Weber, G.W., Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm for just-in-time energy-aware flow shop scheduling problem with outsourcing option. IEEE transactions on fuzzy systems, 28, 11, 2020, 2772-2783.
  • [14] Khalilzadeh, M., Ghasemi, P., Afrasiabi, A., Shakeri, H., Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study. Journal of Modelling in Management, 2021.
  • [15] Lotfi, R., Yadegari, Z., Hosseini, S.H., Khameneh, A.H., Tirkolaee, E.B., Weber, G.W., A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project. Journal of Industrial & Management Optimization, 18, 1, 2022, 375.
  • [16] Mardanya, D., Maity, G., Kumar Roy, S., The multi-objective multi-item just-in-time transportation problem. Optimization, 2021, 1-32.
  • [17] Shafipour-omran, B., Khalili-Damghani, K., Ghasemi, P., Solving a supply chain problem using two approaches of fuzzy goal programming based on TOPSIS and fuzzy preference relations. Journal of Industrial and Systems Engineering, 13, 2, 2020, 27-48.
  • [18] Shaw, L., Das, S.K., Roy, S.K., Location-allocation problem for resource distribution under uncertainty in disaster relief operations. Socio-Economic Planning Sciences, 2022, 101232.
  • [19] Ghasemi, P., Khalili-Damghani, K., Hafezolkotob, A., Raissi, S., A decentralized supply chain planning model: a case study of hardboard industry. The International Journal of Advanced Manufacturing Technology, 93, 9, 2017, 3813-3836.
  • [20] Mondal, A., Roy, S.K., Midya, S., Intuitionistic fuzzy sustainable multi-objective multi-item multi-choice step fixed-charge solid transportation problem. Journal of Ambient Intelligence and Humanized Computing, 2021, 1-25.
  • [21] Salehi-Amiri, A., Akbapour, N., Hajiaghaei-Keshteli, M., Gajpal, Y., Jabbarzadeh, A., Designing an effective two-stage, sustainable, and IoT based waste management system. Renewable and Sustainable Energy Reviews, 157, 2022, 112031.
  • [22] Salehi-Amiri, A., Zahedi, A., Gholian-Jouybari, F., Calvo, E.Z.R., Hajiaghaei-Keshteli, M., Designing a closed-loop supply chain network considering social factors; a case study on avocado industry. Applied Mathematical Modelling, 101, 2022, 600-631.
  • [23] Daneshdoost, F., Hajiaghaei-Keshteli, M., Sahin, R., Niroomand, S., Tabu Search Based Hybrid Meta-Heuristic Approaches for Schedule-Based Production Cost Minimization Problem for the Case of Cable Manufacturing Systems. Informatica, 2022, 1-24.
  • [24] Chouhan, V.K., Khan, S.H., Hajiaghaei-Keshteli, M., Sustainable planning and decision-making model for sugarcane mills considering environmental issues. Journal of environmental management, 303, 2022, 114252.
  • [25] Mondal, A., Roy, S.K., Multi-objective sustainable opened-and closed-loop supply chain under mixed uncertainty during COVID-19 pandemic situation. Computers & Industrial Engineering, 159, 2021, 107453.
  • [26] Midya, S., Kumar Roy, S., Wilhelm Weber, G., Fuzzy multiple objective fractional optimization in rough approximation and its aptness to the fixed-charge transportation problem. RAIRO--Operations Research, 2021, 55(3).
  • [27] Taleizadeh, A.A., Shahriari, M., Sana, S.S., Pricing and Coordination Strategies in a Dual Channel Supply Chain with Green Production under Cap and Trade Regulation. Sustainability, 13, 21, 2021, 12232.
  • [28] Barman, A., Das, R., De, P.K., Sana, S.S. Optimal pricing and greening strategy in a competitive green supply chain: Impact of government subsidy and tax policy. Sustainability, 13, 16, 2021, 9178.
  • [29] Rana, K., Singh, S. ., Saxena, N., Sana, S.S., Growing items inventory model for carbon emission under the permissible delay in payment with partially backlogging. Green Finance, 3, 2, 2021, 153-174.
  • [30] Sana, S.S., A structural mathematical model on two echelon supply chain system. Annals of Operations Research, 2021, 1-29.
  • [31] Salehi-Amiri, A., Zahedi, A., Akbapour, N., Hajiaghaei-Keshteli, M., Designing a sustainable closed-loop supply chain network for walnut industry. Renewable and Sustainable Energy Reviews, 141, 2021, 110821.
  • [32] Chouhan, V.K., Khan, S.H., Hajiaghaei-Keshteli, M., Metaheuristic approaches to design and address multi-echelon sugarcane closed-loop supply chain network. Soft Computing, 25, 16, 2021, 11377-11404.
  • [33] Mosallanezhad, B., Hajiaghaei-Keshteli, M., Triki, C., Shrimp closed-loop supply chain network design. Soft Computing, 25, 11, 2021, 7399-7422.
  • [34] Hamdi-Asl, A., Amoozad-Khalili, H., Tavakkoli-Moghaddam, R., Hajiaghaei-Keshteli, M., Toward sustainability in designing agricultural supply chain network: A case study on palm date. Scientia Iranica, 2021.
  • [35] Fasihi, M., Tavakkoli-Moghaddam, R., Najafi, S.E., Hajiaghaei, M., Optimizing a bi-objective multi-period fish closed-loop supply chain network design by three multi-objective meta-heuristic algorithms. Scientia Iranica, 2021.
  • [36] Mosallanezhad, B., Chouhan, V.K., Paydar, M.M., Hajiaghaei-Keshteli, M., Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic. Applied Soft Computing, 112, 2021, 107809.
  • [37] Mousavi, R., Salehi-Amiri, A., Zahedi, A., Hajiaghaei-Keshteli, M., Designing a supply chain network for blood decomposition by utilizing social and environmental factor. Computers & Industrial Engineering, 160, 2021, 107501.
  • [38] Zahedi, A., Salehi-Amiri, A., Hajiaghaei-Keshteli, M., Diabat, A., Designing a closed-loop supply chain network considering multi-task sales agencies and multi-mode transportation. Soft Computing, 25, 8, 2021, 6203-6235.
  • [39] Mahapatra, D.R., Panda, S., Sana, S.S., Multi-choice and stochastic programming for transportation problem involved in supply of foods and medicines to hospitals with consideration of logistic distribution. RAIRO-Operations Research, 54, 4, 2020, 1119-1132.
  • [40] Sana, S.S., Price competition between green and non green products under corporate social responsible firm. Journal of Retailing and Consumer Services, 55, 2020, 102118.
  • [41] Mirjalili, S., Genetic algorithm. In Evolutionary algorithms and neural networks, 2019, 43-55.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-82b7a43e-f1e6-42fb-b1e1-0ce24067ccbb
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