Journal of Quality Engineering and Management

A multi-Objective Optimization Mathematical Model for Design and Planning of Sustainable Resilience Supply Chain under the Risk of Supply Disruption

Document Type : Original Article

Authors

Zahra Sadeghi 1
Omid Boyer Hasani 2

1 M.A student, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.   

2 Assistant Professor, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran. 

Abstract
 Today, with the planning of a sustainable supply chain, in addition to achieving economic goals, it can satisfy the social and environmental objectives and considerations, which result in a competitive advantage and increase chain power. However, the effects of implementing the principles of sustainability on the resilience of a supply chain in various disruptions have not yet been deeply studied by the researchers. The resilience supply chain, with the benefit of a resilient supply portfolio, can reduce the risk and vulnerability of supply chains to the extent possible in the face of disturbances such as supply disruptions. In this research, modeling and problem solving of a sustainable resilience planning problem of a four-level supply chain network are discussed. For this purpose, a multi-objective optimization model is developed for this problem. The objectives of the proposed model include minimizing cost, maximization of social and environmental outcomes of the suppliers, as well as minimizing delays in the delivery of products. Two methods of Augmented Epsilon constraint and Lp metric are used for balancing goals. Finally, in the final section of the study, a numerical study is considered. Finally, in the final section of the study, the numerical study is considered. The outputs of the model and the sensitivity analysis indicated that the model was efficient. 
 
 
 

Keywords

Supply chain design
Resilient
Sustainable
Supply disruption
Lp metric method
Augmented epsilon constraint 
[1] Jabbarzadeh, M. Haughton, and A. Khosrojerdi, "Closed-loop supply chain network design under disruption risks: A robust approach with real world application," Computers & Industrial Engineering, vol. 116, pp. 178-191, 2018.
[2] D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi, Managing The Supply Chain: Definitive Guide. Tata McGraw-Hill Education, 2004.
[3] H. Carvalho, S. G. Azevedo, and V. Cruz-Machado, "Agile and resilient approaches to supply chain management: influence on performance and competitiveness," Logistics research, vol. 4, no. 1-2, pp. 49-62, 2012a.
[4] H. Carvalho, V. Cruz-Machado, and J. G. Tavares, "A mapping framework for assessing supply chain resilience," International Journal of Logistics Systems and Management, vol. 12, no. 3, pp. 354-373, 2012b.
[5] Y. Sheffi, J. B. Rice, J. M. Fleck, and F. Caniato, "Supply chain response to global terrorism: a situation scan," in Center for Transportation and Logistics, MIT, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, EurOMA POMS Joint International Conference, 2003.
[6] R. Rajesh and V. Ravi, "Supplier selection in resilient supply chains: a grey relational analysis approach," Journal of Cleaner Production, vol. 86, pp. 343-359, 2015.
[7] S. Derissen, M. F. Quaas, and S. Baumgärtner, "The relationship between resilience and sustainability of ecological-economic systems," Ecological Economics, vol. 70, no. 6, pp. 1121-1128, 2011/04/15/ 2011.
[8] M. Varsei and S. Polyakovskiy, "Sustainable supply chain network design: A case of the wine industry in Australia," Omega, vol. 66, pp. 236-247, 2017.
[9] S. Derissen, M. F. Quaas, and S. Baumgärtner, "The relationship between resilience and sustainability of ecological-economic systems," Ecological Economics, vol. 70, no. 6, pp. 1121-1128, 2011/04/15/ 2011.
[10] R. Babazadeh, J. Razmi, M. S. Pishvaee, and M. Rabbani, "A sustainable second-generation biodiesel supply chain network design problem under risk," Omega, vol. 66, pp. 258-277, 2017.
[11] M. Varsei and S. Polyakovskiy, "Sustainable supply chain network design: A case of the wine industry in Australia," Omega, vol. 66, pp. 236-247, 2017.
[12] H. Baroud, K. Barker, J. E. Ramirez‐Marquez, and C. M. Rocco, "Inherent costs and interdependent impacts of infrastructure network resilience," Risk Analysis, vol. 35, no. 4, pp. 642, 66-2015.
[13] V. Gupta, B. He, and S. P. Sethi, "Contingent sourcing under supply disruption and competition," International Journal of Production Research, vol. 53, no. 10, pp. 3006-3027, 2015.
[14] W. Ho, T. Zheng, H. Yildiz, and S. Talluri, "Supply chain risk management: a literature review," International Journal of Production Research, vol. 53, no. 16, pp. 5031-5069, 2015.
[15] S. Rezapour, R. Z. Farahani, and M. Pourakbar, "Resilient supply chain network design under competition: a case study," European Journal of Operational Research, vol. 259, no. 3, pp. 1017-1035, 2017.
[16] B. Fahimnia and A. Jabbarzadeh, "Marrying supply chain sustainability and resilience: A match made in heaven," Transportation Research Part E: Logistics and Transportation Review, vol. 91, pp. 306-324, 2016.
[17] Zahiri, B., Zhuang, J., & Mohammadi, M. Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review, 103, 109-142, 2017.
[18] D. Ivanov, "Revealing interfaces of supply chain resilience and sustainability: a simulation study," International Journal of Production Research, vol. 56, no. 10, pp. 3507-3523, 2018.
[19] A. Jabbarzadeh, B. Fahimnia, and F. Sabouhi, "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, pp. 24-1, 2018.
[20] G. Mavrotas, "Effective implementation of the ε-constraint method in multi-objective mathematical programming problems," Applied mathematics and computation, vol. 213, no. 2, pp. 455-465,2009.
[21] J. Aghaei, N. Amjady, and H. A. Shayanfar, "Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method," Applied Soft Computing, vol. 11, no. 4, pp. 3858-3846, 2011.
Journal of Quality Engineering and Management
Volume 9, Issue 3
Autumn 2019
Pages 212-225

Home

Editorial Board

Indexing and Abstracting

Guide for Authors

Submit Manuscript

Reviewers

Contact Us