Accesso libero

Developing a Mathematical Model for a Green Closed-Loop Supply Chain with a Multi-Objective Gray Wolf Optimization Algorithm

INFORMAZIONI SU QUESTO ARTICOLO

Cita

[1] Aghaahmadi, F.Mahouchi, M. (2017). Supply chain design based on multi-stage random planning. Second National Conference on Industrial Engineering and Systems. Najafabad Islamic Azad University, Department of Industrial Engineering. Search in Google Scholar

[2] Ahmadinezhad, S. Karimizarchi, F. (2018).Selection of a business strategy for managing green supply chain management using the method of network analysis process. Man and the environment. Search in Google Scholar

[3] Akbarijoukar, M.R.Mousareza, A. (2016). Design of complete packet ring network chain under uncertainty of demand and product return conditions. Industrial Engineering Journal, 50 (3), 355-369. Search in Google Scholar

[4] Ali, M., Kennedy, C. M., Kiesecker, J., & Geng, Y. (2018). Integrating biodiversity offsets within Circular Economy policy in China. Journal of Cleaner Production, 185, 32-43.10.1016/j.jclepro.2018.03.027 Search in Google Scholar

[5] Babaee Tirkolaee, E., Goli, A., Pahlevan, M., & Malekalipour Kordestanizadeh, R. (2019). A robust bi-objective multi-trip periodic capacitated arc routing problem for urban waste collection using a multi-objective invasive weed optimization. Waste Management & Research, 37(11), 1089-1101.10.1177/0734242X1986534031416408 Search in Google Scholar

[6] Batista, L., Gong, Y., Pereira, S., Jia, F., & Bittar, A. (2018). Circular supply chains in emerging economies–a comparative study of packaging recovery ecosystems in China and Brazil. International Journal of Production Research, 1-21.10.1080/00207543.2018.1558295 Search in Google Scholar

[7] Beheshtinia, A. (2017). Presenting a Genetic Algorithm for the Problem of Vehicle Routing Integrity and Production Timing in the Supply Chain (Case Study: Medical Supply Chain). Industrial Engineering Journal, 51 (2), 147-160. Search in Google Scholar

[8] Bressanelli, G., Perona, M., & Saccani, N. (2018). Challenges in supply chain redesign for the Circular Economy: a literature review and a multiple case study. International Journal of Production Research, 1-21.10.1080/00207543.2018.1542176 Search in Google Scholar

[9] Davoodi, S. M. R., & Goli, A. (2019). An integrated disaster relief model based on covering tour using hybrid Benders decomposition and variable neighborhood search: Application in the Iranian context. Computers & Industrial Engineering, 130, 370-380.10.1016/j.cie.2019.02.040 Search in Google Scholar

[10] del Mar Alonso-Almeida, M., & Rodriguez-Anton, J. M. (2019). Circular Supply Chain and Business Model in Apparel Industry: An Exploratory Approach. In The Circular Economy and Its Implications on Sustainability and the Green Supply Chain (pp. 66-83). IGI Global.10.4018/978-1-5225-8109-3.ch004 Search in Google Scholar

[11] Esposito, M., Tse, T., & Soufani, K. (2018). Introducing a Circular Economy: New Thinking with New Managerial and Policy Implications. California Management Review, 60(3), 5-19.10.1177/0008125618764691 Search in Google Scholar

[12] Fahimnia, B., Davarzani, H., & Eshragh, A. (2018). Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms. Computers & Operations Research, 89, 241-252.10.1016/j.cor.2015.10.008 Search in Google Scholar

[13] Farooque, M., Zhang, A., Thurer, M., Qu, T., & Huisingh, D. (2019). Circular supply chain management: A definition and structured literature review. Journal of Cleaner Production.10.1016/j.jclepro.2019.04.303 Search in Google Scholar

[14] Fazli-Khalaf, M., Mirzazadeh, A., & Pishvaee, M. S. (2017). A robust fuzzy stochastic programming model for the design of a reliable green closed-loop supply chain network. Human and Ecological Risk Assessment: An International Journal, 23(8), 2119-214910.1080/10807039.2017.1367644 Search in Google Scholar

[15] Gandhi, M. A. (2018). Ordering of components of Green Supply Chain Practices jointly impacting the individual components of Green Supply Chain Performance–An Empirical Study of the Indian Automobile Manufacturing Sector. Archives of Business Research, 6(1).10.14738/abr.61.4103 Search in Google Scholar

[16] Garza-Reyes, J. A., Salomé Valls, A., Peter Nadeem, S., Anosike, A., & Kumar, V. (2018). A circularity measurement toolkit for manufacturing SMEs. International Journal of Production Research, 1-25.10.1080/00207543.2018.1559961 Search in Google Scholar

[17] Ghorbanpour, P., & Shamsodin, N.(2016). Designing a Structural Model for Green Supply Chain Management Actions Using Fuzzy Interpretative Structural Modeling Approach. Investigating operations in its applications, 13. Search in Google Scholar

[18] Goli, A., Babaee Tirkolaee, E., & Soltani, M. (2019). A robust just-in-time flow shop scheduling problem with outsourcing option on subcontractors. Production & Manufacturing Research, 7(1), 294-315.10.1080/21693277.2019.1620651 Search in Google Scholar

[19] Goli, A., & Davoodi, S. M. R. (2018). Coordination policy for production and delivery scheduling in the closed loop supply chain. Production Engineering, 12(5), 621-631.10.1007/s11740-018-0841-0 Search in Google Scholar

[20] Goli, A., & Malmir, B. (2020). A covering tour approach for disaster relief locating and routing with fuzzy demand. International Journal of Intelligent Transportation Systems Research, 18(1), 140-152.10.1007/s13177-019-00185-2 Search in Google Scholar

[21] Goli, A., Khademi Zareh, H., Tavakkoli-Moghaddam, R., & Sadeghieh, A. (2018). A comprehensive model of demand prediction based on hybrid artificial intelligence and metaheuristic algorithms: A case study in dairy industry. Journal of Industrial and Systems Engineering, 11(4), 190-203. Search in Google Scholar

[22] Goli, A., Zare, H. K., Tavakkoli-Moghaddam, R., & Sadeghieh, A. (2019). Application of robust optimization for a product portfolio problem using an invasive weed optimization algorithm. Numerical Algebra, Control & Optimization, 9(2), 187.10.3934/naco.2019014 Search in Google Scholar

[23] Goli, A., Zare, H. K., Tavakkoli-Moghaddam, R., & Sadegheih, A. (2019). Multiobjective fuzzy mathematical model for a financially constrained closed-loop supply chain with labor employment. Computational Intelligence.10.1111/coin.12228 Search in Google Scholar

[24] Goli, A., Zare, H. K., Tavakkoli-Moghaddam, R., & Sadeghieh, A. (2019). Hybrid artificial intelligence and robust optimization for a multi-objective product portfolio problem Case study: The dairy products industry. Computers & Industrial Engineering, 137, 106090.10.1016/j.cie.2019.106090 Search in Google Scholar

[25] Golpîra, H., Zandieh, M., Najafi, E., Sadi-Nezhad, S. (2017). A multiobjective, multi-echelon green supply chain network design problem with risk-averse retailers in an uncertain environment. Scientia Iranica.Transaction E: Industrial Engineering, 24(1), 413-423.10.24200/sci.2017.4043 Search in Google Scholar

[26] Goodarzian, F., Wamba, S. F., Mathiyazhagan, K., & Taghipour, A. (2021). A new bi-objective green medicine supply chain network design under fuzzy environment: Hybrid metaheuristic algorithms. Computers & Industrial Engineering, 160, 107535.10.1016/j.cie.2021.107535 Search in Google Scholar

[27] Hassani, A. (2010). Design of the supply chain outstanding corrosive goods. Master Thesis for Industrial Engineering, The trend of industries, Tarbiat Modares University. Search in Google Scholar

[28] Howard, M., Hopkinson, P., & Miemczyk, J. (2019). The regenerative supply chain: a framework for developing circular economy indicators. International Journal of Production Research, 57(23), 7300-7318.10.1080/00207543.2018.1524166 Search in Google Scholar

[29] Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221-232.10.1016/j.resconrec.2017.09.005 Search in Google Scholar

[30] Kumar, V., Sezersan, I., Garza-Reyes, J. A., & AL-Shboul, M. A. (2018). Circular economy in the manufacturing sector: Benefits, opportunities and barriers. Management Decision. (In press)10.1108/MD-09-2018-1070 Search in Google Scholar

[31] Liang, L., & Kouesta, H. J. (2018). Green Design of a Cellulosic Butanol Supply Chain Network: A Case Study of Sorghum Stem Bio-butanol in Missouri. BioResources, 13(3), 5617-5642.10.15376/biores.13.3.5617-5642 Search in Google Scholar

[32] Mangla, S. K., Luthra, S., Mishra, N., Singh, A., Rana, N. P., Dora, M., & Dwivedi, Y. (2018). Barriers to effective circular supply chain management in a developing country context. Production Planning & Control, 29(6), 551-569.10.1080/09537287.2018.1449265 Search in Google Scholar

[33] Miranda-Ackerman, M. A., Azzaro-Pantel, C., & Aguilar-Lasserre, A. A. (2017). A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster. Computers & Industrial Engineering, 109, 369-389.10.1016/j.cie.2017.04.031 Search in Google Scholar

[34] Mortazavi, S., & Seyfbarghi, M., (2018). Two-objective modeling of allocation problem in a green supply chain considering the transport system and CO2 emissions. Industrial Management Outlook. 29, 163-185. Search in Google Scholar

[35] Murray, A., Skene, K., & Haynes, K. (2017). The circular economy: An interdisciplinary exploration of the concept and application in a global context. Journal of Business Ethics, 140(3), 369-380.10.1007/s10551-015-2693-2 Search in Google Scholar

[36] Nouridarian, M. Taleezadeh, A. (2018). Developing a model of economic production in integrated and non-integrated level supply chains, taking into account the optimal inventory control policy. Industrial Engineering Journal, 52 (1), 125-137. Search in Google Scholar

[37] Nurjanni, K. P., Carvalho, M. S., & Costa, L. (2017). Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model. International Journal of Production Economics, 183, 421-432.10.1016/j.ijpe.2016.08.028 Search in Google Scholar

[38] Pasuki, T., Çalik, A., Kumpf, A., & Weber, G. W. (2019). A New Model for Lean and Green Closed-Loop Supply Chain Optimization. In Lean and Green Supply Chain Management (pp. 39-73). Springer, Cham.10.1007/978-3-319-97511-5_2 Search in Google Scholar

[39] Rad, R. S., & Nahavandi, N. (2018). A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount. Journal of Cleaner Production. Search in Google Scholar

[40] Reike, D., Vermeulen, W. J., & Witjes, S. (2018). The circular economy: New or Refurbished as CE 3.0? - Exploring Controversies in the Conceptualization of the Circular Economy through a Focus on History and Resource Value Retention Options. Resources, Conservation and Recycling, 135, 246-264.10.1016/j.resconrec.2017.08.027 Search in Google Scholar

[41] Saffar, M.Shakouriganjavi,H. Razmi, GH. (2017). Designing a Supply Chain Network Considering Environmental Factors under Uncertainty and Solving It with Multi-objective Differential Evolutionary Algorithms (MODE). Journal of Environmental Science and Technology, 19, 209-221. Search in Google Scholar

[42] Sangaiah, A. K., Tirkolaee, E. B., Goli, A., & Dehnavi-Arani, S. (2019). Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem. Soft Computing, 1-21.10.1007/s00500-019-04010-6 Search in Google Scholar

[43] Su, B., Heshmati, A., Geng, Y., & Yu, X. (2013). A review of the circular economy in China: moving from rhetoric to implementation. Journal of Cleaner Production, 42, 215-227.10.1016/j.jclepro.2012.11.020 Search in Google Scholar

[44] Tarokh, M.& Gouke, M. (2010). An overall model for optimizing reverse logistics network design with uncertainty. Industrial Engineering Journal of Industrial Engineering, 1392-193-159. Search in Google Scholar

[45] Tirkolaee, E. B., Alinaghian, M., Hosseinabadi, A. A. R., Sasi, M. B., & Sangaiah, A. K. (2019a). An improved ant colony optimization for the multi-trip Capacitated Arc Routing Problem. Computers & Electrical Engineering, 77, 457-470.10.1016/j.compeleceng.2018.01.040 Search in Google Scholar

[46] Tirkolaee, E. B., Goli, A., & Weber, G. W. (2019b). Multi-objective Aggregate Production Planning Model Considering Overtime and Outsourcing Options Under Fuzzy Seasonal Demand. In Advances in Manufacturing II (pp. 81-96). Springer, Cham.10.1007/978-3-030-18789-7_8 Search in Google Scholar

[47] Tirkolaee, E. B., Hosseinabadi, A. A. R., Soltani, M., Sangaiah, A. K., & Wang, J. (2018). A hybrid genetic algorithm for multi-trip green capacitated arc routing problem in the scope of urban services. Sustainability, 10(5), 1366.10.3390/su10051366 Search in Google Scholar

[48] Zhang, H., & Yang, K. (2018). Multi-Objective Optimization for Green Dual-Channel Supply Chain Network Design Considering Transportation Mode Selection. International Journal of Information Systems and Supply Chain Management (IJISSCM), 11(3), 1-21.10.4018/IJISSCM.2018070101 Search in Google Scholar

[49] Zhuo, H., & Wei, S. (2017). Gaming of green supply chain members under government subsidies—based on the perspective of demand uncertainty. In Proceedings of the Tenth International Conference on Management Science and Engineering Management (pp. 1105-1116). Springer, Singapore.10.1007/978-981-10-1837-4_91 Search in Google Scholar

eISSN:
2300-3405
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, Artificial Intelligence, Software Development