Abstract
Over the past years, closed-loop supply chains (CLSC) gained a considerable attention in both academia and industry due to environmental regulations and concerns about sustainability. Although various problems in CLSC’s are addressed by researchers, not much attention is given to the effects of closing the loop in supply chains. In this study, we propose a set of linear programming models for both forward and closed-loop supply chains to see the economic and environmental effects of closing the loop. In addition to the case where there is no emission regulation, we also study the carbon cap policy and compare the forward and closed-loop supply chains under this policy. Computational results bring two important insights to us. First, we see that there are instances in which closing the loop may bring significant cost and emission reductions. Second, we observe that it may be possible to work under lower carbon caps by closing the loop in supply chains.
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References
Haddadsisakht, A., Ryan, S.M.: Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax. Int. J. Prod. Econ. 195, 118–131 (2018). https://doi.org/10.1016/j.ijpe.2017.09.009
Jabbarzadeh, A., Haughton, M., Khosrojerdi, A.: Closed-loop supply chain network design under disruption risks: a robust approach with real world application. Comput. Ind. Eng. 116, 178–191 (2018). https://doi.org/10.1016/j.cie.2017.12.025
Easwaran, G., Üster, H.: A closed-loop supply chain network design problem with integrated forward and reverse channel decisions. IIE Trans. 42(11), 779–792 (2010). https://doi.org/10.1080/0740817X.2010.504689
Üster, H., Hwang, S.O.: Closed-loop supply chain network design under demand and return uncertainty. Transp. Sci. 51(4), 1063–1085 (2016). https://doi.org/10.1287/trsc.2015.0663
Dehghan, E., Nikabadi, M.S., Amiri, M., Jabbarzadeh, A.: Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design. Comput. Ind. Eng. 123, 220–231 (2018). https://doi.org/10.1016/j.cie.2018.06.030
Jindal, A., Sangwan, K.S.: Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programming model. Int. J. Prod. Res. 52(14), 4156–4173 (2014). https://doi.org/10.1080/00207543.2013.861948
Xu, Z., Pokharel, S., Elomri, A., Mutlu, F.: Emission policies and their analysis for the design of hybrid and dedicated closed-loop supply chains. J. Clean. Prod. 142, 4152–4168 (2017). https://doi.org/10.1016/j.jclepro.2016.09.192
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Alegoz, M., Kaya, O., Bayindir, Z.P. (2020). A Comparison of Forward and Closed-Loop Supply Chains. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_86
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DOI: https://doi.org/10.1007/978-3-030-48439-2_86
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