Multiple-sourcing in Sustainable Closed-loop Supply Chain Network Design: Tire Industry Case Study

Document Type: Research Paper

Authors

Department of Industrial Engineering, Yazd University, Yazd, Iran

Abstract

The interaction of sustainability and resilience has not been sufficiently addressed in the supply chain literature. Applying sustainability and resilience concepts in a supply chain means the simultaneous optimization of the cost and recourses, including human and environmental ones, in facing possible risks. This paper tries to fill this gap by considering them simultaneously in a closed-loop supply chain. For this, a new mixed-integer programming (MIP) model was formulated for a closed-loop supply chain. In this research, different dimensions of sustainable development have been taken into account through reducing the total cost, energy consumption, and pollution and increasing job opportunities, and multiple-sourcing strategy has been applied for the resiliency of the supply chain. To validate the proposed model, the real data of a tire industry was used and the model was solved using the e-Constraint method. The results emphasized the necessity of combining sustainability and resilience in a closed-loop supply chain, where the high amounts of demand, in addition to increasing the cost, energy consumption, and pollution, increase job opportunities and the need to backup suppliers for raw materials.

Keywords


<https://www.researchandmarkets.com/research/5lv58g/global_automotive?w=4> (date visited: July 25, 2019).

<https://www.statista.com/statistics/792209/global-tire-demand/> (date visited: September 6, 2019).

<https://www.x-rates.com/calculator/?from=USD&to=IRR&amount=1 > (date visited: September 10, 2019).

Amin, S. H., Zhang, G., and Akhtar, P. (2017). Effects of uncertainty on a tire closed-loop supply chain network. Expert Systems with Applications, 73, 82-91.

Azevedo, S. G., Govindan, K., Carvalho, H., and Cruz-Machado, V. (2013). Ecosilient Index to assess the greenness and resilience of the upstream automotive supply chain. Journal of Cleaner Production, Vol. 56, pp. 131-146.

Bouchery, Y., Corbett, C. J., Fransoo, J. C., and Tan, T. (Eds.). (2016). Sustainable supply chains: A research-based textbook on operations and strategy (Vol. 4). Springer.

Burke, G. J., Carrillo, J. E., and Vakharia, A. J. (2009). Sourcing decisions with stochastic supplier reliability and stochastic demand. Production and operations management, Vol. 18(4), pp. 475-484.

Chopra, S., and Sodhi, M. S. (2004). Supply-chain breakdown. MIT Sloan management review, Vol. 46(1), pp. 53-61.

Christopher, M., and Peck, H. (2004). Building the resilient supply chain. The international journal of logistics management, Vol. 15(2), pp. 1-14.

Dehghanian, F., and Mansour, S. (2009). Designing sustainable recovery network of end-of-life products using genetic algorithm. Resources, Conservation and Recycling, Vol. 53(10), pp. 559-570.

Devika, K., Jafarian, A., and Nourbakhsh, V. (2014). Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques. European Journal of Operational Research, Vol. 235(3), pp. 594-615.

Fahimnia, B., and Jabbarzadeh, A. (2016). Marrying supply chain sustainability and resilience: A match made in heaven. Transportation Research Part E: Logistics and Transportation Review, Vol. 91, pp. 306-324.

Gaur, J., Amini, M., and Rao, A. K. (2017). Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model. Omega, Vol. 66, pp. 212-223.

Guide, V. D. R., Harrison, T. P., and Van Wassenhove, L. N. (2003). The challenge of closed-loop supply chains. Interfaces, Vol. 33(6), pp. 3-6.

Haimes YV, YV. Lasdon, L. S., and WISMER DA, DA. (1971). On a bicriterion formation of the problems of integrated system identification and system optimization. IEEE Transactions on Systems, Man and CyberneticsSMC-1(3), pp. 296-297.

Hajiaghaei-Keshteli, M., and Fard, A. M. F. (2018). Sustainable closed-loop supply chain network design with discount supposition. Neural Computing and Applications, pp. 1-35.

Ivanov, D. (2018). Revealing interfaces of supply chain resilience and sustainability: a simulation study. International Journal of Production Research, Vol. 56(10), pp. 3507-3523.

Jabbarzadeh, A., Fahimnia, B., and Sabouhi, F. (2018). Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research, Vol. 56(17), pp. 5945-5968.

Janatyan, N., Zandieh, M., Alem-Tabriz, A., and Rabieh, M. (2018). Designing Sustainable Distribution Network in Pharmaceutical Supply Chain: A Case Study. International Journal of Supply and Operations Management, Vol. 5(2), pp. 122-133.

Jofred, P., and Öster, P. (2011). CO2 Emissions from Freight Transport and the Impact of Supply Chain Management: A case study at Atlas Copco Industrial Technique.

Kadambala, D. K., Subramanian, N., Tiwari, M. K., Abdulrahman, M., and Liu, C. (2017). Closed loop supply chain networks: Designs for energy and time value efficiency. International Journal of Production Economics, Vol. 183, pp. 382-393.

Kaur, H., and Singh, S. P. (2016). Sustainable procurement and logistics for disaster resilient supply chain. Annals of Operations Research, pp. 1-46.

Kaur, H., Singh, S. P., Garza-Reyes, J. A., and Mishra, N. (2018). Sustainable stochastic production and procurement problem for resilient supply chain. Computers & Industrial Engineering.

Kaviani, M. A., Mobin, M., and Bottani, E. (2016). Supply Chain Resilience Assessment: A Grey Systems Theory Approach. In Proceedings of the International Conference on Industrial Engineering and Operations Management (pp. 23-25).

Margolis, J. T., Sullivan, K. M., Mason, S. J., and Magagnotti, M. (2018). A multi-objective optimization model for designing resilient supply chain networks. International Journal of Production Economics, Vol. 204, pp. 174-185.

Mohammed, A., Harris, I., Soroka, A., and Nujoom, R. (2019). A hybrid MCDM-fuzzy multi-objective programming approach for a G-Resilient supply chain network design. Computers & Industrial Engineering, Vol. 127, pp. 297-312.

Namdar, J., Li, X., Sawhney, R., and Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, Vol. 56(6), pp. 2339-2360.

Pavlov, A., Ivanov, D., Pavlov, D., and Slinko, A. (2019). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics. Annals of Operations Research, pp. 1-30.

Pedram, A., Yusoff, N. B., Udoncy, O. E., Mahat, A. B., Pedram, P., and Babalola, A. (2017). Integrated forward and reverse supply chain: A tire case study. Waste Management, Vol. 60, pp. 460-470.

Ponis, S. T., and Koronis, E. (2012). Supply Chain Resilience? Definition of concept and its formative elements. The Journal of Applied Business Research, Vol. 28(5), pp. 921-935.

Rezaei, S., and Kheirkhah, A. (2018). A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations. Computational and Mathematical Organization Theory, Vol. 24(1), pp. 51-98.

Rice, J. B., and Caniato, F. (2003). Building a secure and resilient supply network. SUPPLY CHAIN MANAGEMENT REVIEW, V. 7, NO. 5 (SEPT./OCT. 2003), P. 22-30: ILL.

Sahebjamnia, N., Fathollahi-Fard, A. M., and Hajiaghaei-Keshteli, M. (2018). Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks. Journal of cleaner production, 196, 273-296.

Sawik, T. (2014). Optimization of cost and service level in the presence of supply chain disruption risks: Single vs. multiple sourcing. Computers & Operations Research, Vol. 51, pp. 11-20.

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. Resources Policy.

Soleimani, H., Govindan, K., Saghafi, H., and Jafari, H. (2017). Fuzzy multi-objective sustainable and green closed-loop supply chain network design. Computers & Industrial Engineering, Vol. 109, pp. 191-203.

Subulan, K., Taşan, A. S., and Baykasoğlu, A. (2015). Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming. Applied Mathematical Modelling, Vol. 39(9), pp. 2661-2702.

Talaei, M., Moghaddam, B. F., Pishvaee, M. S., Bozorgi-Amiri, A., and Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry. Journal of Cleaner Production, Vol. 113, pp. 662-673.

Tannous, K., Yoon, S. (2018). Summarizing Risk, Sustainability and Collaboration in Global Supply Chain Management. International Journal of Supply and Operations Management, Vol. 5(2), pp. 192-196.

Yavari, M., and Geraeli, M. (2019). Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods. Journal of Cleaner Production, Vol. 226, pp. 282-305.

Zahiri, B., Zhuang, J., and Mohammadi, M. (2017). Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review, Vol. 103, pp. 109-142.

Zhalechian, M., Tavakkoli-Moghaddam, R., Zahiri, B., and Mohammadi, M. (2016). Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transportation Research Part E: Logistics and Transportation Review, Vol. 89, pp. 182-214.

Zhen, L., Huang, L., and Wang, W. (2019). Green and sustainable closed-loop supply chain network design under uncertainty. Journal of Cleaner Production, Vol. 227, pp. 1195-1209.