Morvarid Derakhshan Andisheh Journal of Quality Engineering and Management 3134-0849 9 3 2019 09 23 A multi-Objective Optimization Mathematical Model for Design and Planning of Sustainable Resilience Supply Chain under the Risk of Supply Disruption A multi-Objective Optimization Mathematical Model for Design and Planning of Sustainable Resilience Supply Chain under the Risk of Supply Disruption 212 225 102756 FA Zahra Sadeghi M.A student, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.    Omid Boyer Hasani Assistant Professor, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.  0000-0001-8969-2995 Journal Article 2019 10 09  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. <br /> <br /> <br />   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. <br /> <br /> <br />  https://www.pqprc.ir/article_102756_a695d99c577c10f5953ab88b9675a0ff.pdf