An Improved Grey Approach for Defense Green Resilient Supply Network Assessment

Document Type : Research Article (Original Article)


1 PhD candidate of Industrial Engineering, Faculty of Engineering, Islamic Azad University Science and Research Branch, Tehran, Iran

2 Associate Professor, Faculty of Engineering, Islamic Azad University Karaj Branch, Karaj, Iran.

3 Professor, Faculty of Industrial Engineering, University of Tehran, Tehran, Iran.


In the growing and turbulent market of the current world, both in national and in international relations, the need for reviewing and assessment of the resiliency of suppliers as one of the new concepts in supply chain management has increased. In addition, globalization, increasing the regulations of governmental and nongovernmental organizations, customers’ request and pressure regarding environmental issues have led organizations to evaluate the measures necessary to implement green supply chain management, to improve their environmental and economic performance. The subject of selecting and evaluating suppliers on green supply chain with resilience capability first requires the identification of the supplier evaluation criteria so that it considers the resiliency of the supply chain concurrent with the concepts of green supply chain. Secondly, right tools should be used for the decision. Considering all the criteria and indicators in conditions of uncertainty encourages the development and application of methods, such as fuzzy theory and grey systems theory. In this research, a comprehensive model for evaluating green resilience supply chain network is provided. In order to apply both quantitative and qualitative criteria, the possibility of making the target based criteria dimensionless along the cost or benefit criteria, the use of experts’ opinions in allocation of weights to the criteria and indicators using grey numbers, grey relational analysis are developed and improved. In the end, the implementation of the proposed model is explained step by step in a case study and the future conclusions and recommendations are suggested.