Abstract
Due to industrialization, copper demand has increased over the last decades. Recycling rate of copper is high and its scrap requires less energy than primary production, so sustainable closed-loop supply chain network design is considered a primary decision. Besides, the uneven distribution of copper has exaggerated the destructive effects of natural disasters such as earthquakes on mines. To the best of the authors’ knowledge, there is no research about copper supply chain network design. In this paper, a copper network is designed and backup suppliers are used as a resilience strategy to reduce the effects of earthquakes on mining operations. Without backup model and with backup model are presented as multi-objective and are compared with each other. In each model, the economic objective is to maximize the supply chain profit; the environmental objective is to minimize water consumption and air pollutants; and the social objective is to maximize social desirability by considering security and unemployment rates. The models are formulated using mixed-integer linear programming and they are solved by \(\varepsilon\)-constraint and weighted sum methods. Results show that, with backup model increases the supply chain responsiveness. Also, the model is able to improve the economic and social performances of the supply chain. But in environmental aspect, it performs worse than without backup model. This is because the backup suppliers are added to the supply chain and their exploitation will create negative environmental effects. In addition, using copper scraps saves costs, energy and the consumption of this non-renewable metal.
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Abdolazimi O, Esfandarani MS, Salehi M, Shishebori D (2020) Robust design of a multi-objective closed-loop supply chain by integrating on-time delivery, cost, and environmental aspects, case study of a tire factory. J Clean Prod 264:121566
Acar M, Kaya O (2019) A healthcare network design model with mobile hospitals for disaster preparedness: a case study for Istanbul earthquake. Transp Res Part e Logist Transp Rev 130:273–292
Ahranjani PM, Ghaderi SF, Azadeh A, Babazadeh R (2020) Robust design of a sustainable and resilient bioethanol supply chain under operational and disruption risks. Clean Technol Environ Policy 22(1):119–151
Akbari-Kasgari M, Khademi-Zare H, Fakhrzad MB, Hajiaghaei-Keshteli M, Honarvar M (2020) A closed-loop supply chain network design problem in copper industry. Int J Eng 33(10):2008–2015
Anvari S, Turkay M (2017) The facility location problem from the perspective of triple bottom line accounting of sustainability. Int J Prod Res 55(21):6266–6287
Babaeinesami A, Tohidi H, Seyedaliakbar SM (2021) Designing a data-driven leagile sustainable closed-loop supply chain network. Int J Manag Sci Eng Manag 16(1):14–26
Brandenburg M, Rebs T (2015) Sustainable supply chain management: a modeling perspective. Ann Oper Res 229(1):213–252
Chen J, Wang Z, Wu Y, Li L, Li B, Pan DA, Zuo T (2019) Environmental benefits of secondary copper from primary copper based on life cycle assessment in China. Resour Conserv Recycl 146:35–44
Chopra S, Meindl P (2007) Supply chain management. Strategy, planning & operation. In: Das summa summarum des management. Gabler, pp 265–275
Das R, Shaw K, Irfan M (2020) Supply chain network design considering carbon footprint, water footprint, supplier’s social risk, solid waste, and service level under the uncertain condition. Clean Technol Environ Policy 22(2):337–370
Devika K, Jafarian A, Nourbakhsh V (2014) Designing a sustainable closed-loop supply chain network based on triple bottom line approach: a comparison of metaheuristics hybridization techniques. Eur J Oper Res 235(3):594–615
Diabat A, Jabbarzadeh A, Khosrojerdi A (2019) A perishable product supply chain network design problem with reliability and disruption considerations. Int J Prod Econ 212:125–138
Dong D, van Oers L, Tukker A, van der Voet E (2020) Assessing the future environmental impacts of copper production in China: implications of the energy transition. J Clean Prod 274:122825
Elshkaki A, Graedel TE, Ciacci L, Reck BK (2016) Copper demand, supply, and associated energy use to 2050. Glob Environ Chang 39:305–315
Esmaili M, Amjady N, Shayanfar HA (2011) Multi-objective congestion management by modified augmented ε-constraint method. Appl Energy 88(3):755–766
Fattahi M, Govindan K, Maihami R (2020) Stochastic optimization of disruption-driven supply chain network design with a new resilience metric. Int J Prod Econ 230:107755
Fuentes M, Negrete M, Herrera-León S, Kraslawski A (2021) Classification of indicators measuring environmental sustainability of mining and processing of copper. Miner Eng 170:107033
Gholipoor A, Paydar MM, Safaei AS (2019) A faucet closed-loop supply chain network design considering used faucet exchange plan. J Clean Prod 235:503–518
Giri BC, Bardhan S (2015) Coordinating a supply chain under uncertain demand and random yield in presence of supply disruption. Int J Prod Res 53(16):5070–5084
Gunn G (ed) (2014) Critical metals handbook. John Wiley & Sons
Haas J, Moreno-Leiva S, Junne T, Chen PJ, Pamparana G, Nowak W, Kracht W, Ortiz JM (2020) Copper mining: 100% solar electricity by 2030? Appl Energy 262:114506
Haghjoo N, Tavakkoli-Moghaddam R, Shahmoradi-Moghadam H, Rahimi Y (2020) Reliable blood supply chain network design with facility disruption: a real-world application. Eng Appl Artif Intell 90:103493
Han X, Chen D, Chen D, Long H (2015) Strategy of production and ordering in closed-loop supply chain under stochastic yields and stochastic demands. Int J u- e-Serv Sci Technol 8(4):77–84
International Copper Study Group (ICSG)
Jabbarzadeh A, Fahimnia B, Sheu JB (2017) An enhanced robustness approach for managing supply and demand uncertainties. Int J Prod Econ 183:620–631
Jabbarzadeh A, Fahimnia B, Sabouhi F (2018) Resilient and sustainable supply chain design: sustainability analysis under disruption risks. Int J Prod Res 56(17):5945–5968
Khan SAR, Zhang Y, Anees M, Golpîra H, Lahmar A, Qianli D (2018) Green supply chain management, economic growth and environment: a GMM based evidence. J Clean Prod 185:588–599
Khan SAR, Mathew M, Dominic PDD, Umar M (2021a) Evaluation and selection strategy for green supply chain using interval-valued q-rung orthopair fuzzy combinative distance-based assessment. Environ Dev Sustain 1–33. https://doi.org/10.1007/s10668-021-01876-1
Khan SAR, Yu Z, Golpira H, Sharif A, Mardani A (2021b) A state-of-the-art review and meta-analysis on sustainable supply chain management: future research directions. J Clean Prod 278:123357
Kuipers KJ, van Oers LF, Verboon M, van der Voet E (2018) Assessing environmental implications associated with global copper demand and supply scenarios from 2010 to 2050. Glob Environ Chang 49:106–115
Liu S, Zhang Y, Su Z, Lu M, Gu F, Liu J, Jiang T (2020) Recycling the domestic copper scrap to address the China’s copper sustainability. J Market Res 9(3):2846–2855
Mardani A, Kannan D, Hooker RE, Ozkul S, Alrasheedi M, Tirkolaee EB (2020) Evaluation of green and sustainable supply chain management using structural equation modelling: a systematic review of the state of the art literature and recommendations for future research. J Clean Prod 249:119383
Mehrjerdi YZ, Shafiee M (2021) A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies. J Clean Prod 289:125141
Mohamadi A, Yaghoubi S (2017) A bi-objective stochastic model for emergency medical services network design with backup services for disasters under disruptions: an earthquake case study. Int J Disaster Risk Reduct 23:204–217
Moreno-Camacho CA, Montoya-Torres JR, Jaegler A, Gondran N (2019) Sustainability metrics for real case applications of the supply chain network design problem: a systematic literature review. J Clean Prod 231:600–618
Moreno-Leiva S, Haas J, Junne T, Valencia F, Godin H, Kracht W, Eltrop L (2020) Renewable energy in copper production: a review on systems design and methodological approaches. J Clean Prod 246:118978
Muduli K, Govindan K, Barve A, Geng Y (2013) Barriers to green supply chain management in Indian mining industries: a graph theoretic approach. J Clean Prod 47:335–344
Northey SA, Mudd GM, Werner TT (2018) Unresolved complexity in assessments of mineral resource depletion and availability. Nat Resour Res 27(2):241–255
Pahlevan SM, Hosseini SMS, Goli A (2021) Sustainable supply chain network design using products’ life cycle in the aluminum industry. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-12150-8
Peng H, Shen N, Liao H, Xue H, Wang Q (2020) Uncertainty factors, methods, and solutions of closed-loop supply chain—a review for current situation and future prospects. J Clean Prod 254:120032
Pimentel BS, Mateus GR, Almeida FA (2013) Stochastic capacity planning and dynamic network design. Int J Prod Econ 145(1):139–149
Pourmehdi M, Paydar MM, Asadi-Gangraj E (2020) Scenario-based design of a steel sustainable closed-loop supply chain network considering production technology. J Clean Prod 277:123298
Rezapour S, Farahani RZ, Pourakbar M (2017) Resilient supply chain network design under competition: a case study. Eur J Oper Res 259(3):1017–1035
Romeijn HE, Shu J, Teo CP (2007) Designing two-echelon supply networks. Eur J Oper Res 178(2):449–462
Roostaie S, Nawari N, Kibert CJ (2019) Sustainability and resilience: a review of definitions, relationships, and their integration into a combined building assessment framework. Build Environ 154:132–144
Samadi A, Mehranfar N, Fathollahi Fard AM, Hajiaghaei-Keshteli M (2018) Heuristic-based metaheuristics to address a sustainable supply chain network design problem. J Ind Prod Eng 35(2):102–117
Schnebele E, Jaiswal K, Luco N, Nassar NT (2019) Natural hazards and mineral commodity supply: quantifying risk of earthquake disruption to South American copper supply. Resour Policy 63:101430
Sherafati M, Bashiri M, Tavakkoli-Moghaddam R, Pishvaee MS (2019) Supply chain network design considering sustainable development paradigm: a case study in cable industry. J Clean Prod 234:366–380
Soleimani H (2018) A new sustainable closed-loop supply chain model for mining industry considering fixed-charged transportation: a case study in a travertine quarry. Resour Policy 74:101230
Torabi SA, Baghersad M, Mansouri SA (2015) Resilient supplier selection and order allocation under operational and disruption risks. Transp Res Part e Logist Transp Rev 79:22–48
Tordecilla RD, Juan AA, Montoya-Torres JR, Quintero-Araujo CL, Panadero J (2021) Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: a review. Simul Model Pract Theory 106:102166
Umar Z, Shahzad SJH, Kenourgios D (2019) Hedging US metals & mining Industry’s credit risk with industrial and precious metals. Resour Policy 63:101472
Vahidi F, Torabi SA, Ramezankhani MJ (2018) Sustainable supplier selection and order allocation under operational and disruption risks. J Clean Prod 174:1351–1365
Valderrama CV, Santibanez-González E, Pimentel B, Candia-Véjar A, Canales-Bustos L (2020) Designing an environmental supply chain network in the mining industry to reduce carbon emissions. J Clean Prod 254:119688
Valenta RK, Kemp D, Owen JR, Corder GD, Lèbre É (2019) Re-thinking complex orebodies: consequences for the future world supply of copper. J Clean Prod 220:816–826
Yin S, Nishi T, Grossmann IE (2015) Optimal quantity discount coordination for supply chain optimization with one manufacturer and multiple suppliers under demand uncertainty. Int J Adv Manuf Technol 76(5–8):1173–1184
Yu Z, Khan SAR (2021) Green supply chain network optimization under random and fuzzy environment. Int J Fuzzy Syst. https://doi.org/10.1007/s40815-020-00979-7
Zadeh AS, Sahraeian R, Homayouni SM (2014) A dynamic multi-commodity inventory and facility location problem in steel supply chain network design. Int J Adv Manuf Technol 70(5–8):1267–1282
Zare Mehrjerdi Y, Lotfi R (2019) Development of a mathematical model for sustainable closed-loop supply chain with efficiency and resilience systematic framework. Int J Supply Oper Manag 6(4):360–388
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Akbari-Kasgari, M., Khademi-Zare, H., Fakhrzad, M.B. et al. Designing a resilient and sustainable closed-loop supply chain network in copper industry. Clean Techn Environ Policy 24, 1553–1580 (2022). https://doi.org/10.1007/s10098-021-02266-x
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DOI: https://doi.org/10.1007/s10098-021-02266-x