A closed-loop supply chain network design with considering third party logistics: A case study

Document Type : Research Paper

Authors

1 School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

2 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract

Organizations are nowadays seeking competitive advantage over other rivals, reduction of costs, and customer satisfaction for their progress and development. One of the key factors in reaching the competitive advantage is to have a robust logistic system. The available complexities in the forward and reverse integration processes lead managers to take the companies offering third party logistics services as proper alternatives for outsourcing processes. Furthermore, with population growth and development of transportation network, the amount of scrap products related to this industry is increasing. One of the widely used products is tire which could cause irreversible damages to the environment if it is not logically and appropriately disposed after being fully used. Accordingly, this study proposed a multi-period, multi-product, bi-objective mathematical model to design a closed-loop supply chain network in the tire industry concerning sustainability factors (economic and social) under the third party logistic management. The proposed model aimed at maximizing the profit made by different process over the scrap products and reaching social sustainability as well. Furthermore, the environmental impacts were controlled. The augmented epsilon-constraint method was implemented to solve the multi-objective model and reach optimal Pareto solutions. Finally, the proposed model was validated against a case study in the tire industry.

Keywords

Main Subjects


Chang, S. Y., & Gronwald, F. (2016). A Multi-Criteria Evaluation of the Methods for Recycling Scrap Tires. The Journal of Solid Waste Technology and Management, 42(2), 145-156.
Dehghanian, F., & Mansour, S. (2009). Designing sustainable recovery network of end-of-life products using genetic algorithm. Resources, Conservation and Recycling, 53(10), 559-570.
de Souza, C. D. R., & Márcio de Almeida, D. A. (2013). Value chain analysis applied to the scrap tire reverse logistics chain: An applied study of co-processing in the cement industry. Resources, Conservation and Recycling, 78, 15-25.
de Souza Abdul-Kader Subulan, W., & Haque, M. S. (2011). Sustainable tyre remanufacturing: an agent-based simulation modelling approach. International Journal of Sustainable Engineering, 4(4), 330-347.
Karagiannidis, A., & Kasampalis, T. (2010). Resource recovery from end-of-life tyres in Greece: a field survey, state-of-art and trends. Waste Management & Research, 28(6), 520-532.
Ko, H. J., & Evans, G. W. (2007). A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Computers& Operations Research, 34, 346–366.
Lebreton, B., & Tama, A. (2006). A quantitative approach to assessing the profitability of car and truck tire remanufacturing. International Journal of production economics, 104(2), 639-652
Malijonyte, V., Dace, E., Romagnoli, F., Kliopova, I., & Gedrovics, M. (2016). A comparative life cycle assessment of energy recovery from end-of-life tires and selected solid waste. Energy Procedia, 95, 257-264.
Mahmoudzadeh, M., Mansour, S., & Karimi, B. (2013). To develop a third-party reverse logistics network for end-of-life vehicles in Iran. Resources, Conservation and Recycling, 78, 1-14.
Rabbani, M., Hosseini-Mokhallesun, S. A. A., Ordibazar, A. H., & Farrokhi-Asl, H. (2020). A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design. International Journal of Systems Science: Operations & Logistics, 7(1), 60-75.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Torabi, S. A., Baghersad, M., & Mansouri, S. A. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22-48.
Pedram, A., Yusoff, N. B., Udoncy, O. E., Mahat, A. B., Pedram, P., & Babalola, A. (2017). Integrated forward and reverse supply chain: A tire case study. Waste Management, 60, 460-470.
Pishvaee, M. S., Farahani, R. Z., & Dullaert, W. (2010). A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers & operations research, 37(6), 1100-1112.
Sellitto, M. A., Kadel Jr, N., Borchardt, M., Pereira, G. M., & Domingues, J. (2013). Rice husk and scrap tires co-processing and reverse logistics in cement manufacturing. Ambiente & Sociedade, 16(1), 141-162.
Subulan, K., Taşan, A. S., & Baykasoğlu, A. (2014). Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming. Applied Mathematical Modelling, 39(9), 2661-2702.
Torretta, V., Rada, E. C., Ragazzi, M., Trulli, E., Istrate, I. A., & Cioca, L. I. (2015). Treatment and disposal of tyres: two EU approaches. A review. Waste Management, 45, 152-160.
Tezuka, K. (2011). Rationale for utilizing 3PL in supply chain management: A shippers' economic perspective. IATSS Research, 35(1), 24-29.
Yang, Y., Min, H., & Zhou, G. (2009). Theory of constraints for recycling automobile tyres in the reverse logistics system. International Journal of Integrated Supply Management, 5(2), 158-172.
Zhang, Y., Xie, L., Hang, W., & Cui, X. (2007, August). A robust model for 3PLS to design a remanufacturing logistics network under the uncertain environment. In 2007 IEEE International Conference on Automation and Logistics (pp. 367-372). IEEE.