Background: Today, green, and resilient approaches as supply chain paradigms allow organizations to operate competitively in the markets. therefore, to remain in the existing competitive market, there is a need for a survival plan through an integrated approach that simultaneously considers resilience to efficiently cope with unexpected disruptions and green dimension to manage increasing global requirements to reduce the environmental impact. In this paper, we present a multi objective, optimization-based network design methodology to help supply chain architects to consider the increase of the efficiency of supply chain network as well as the environmental aspects of their supply chain in order to achieve common objectives of profit and market share by reducing environmental hazards.
Aim: The main purpose of this research is to develop a multi-objective mathematical model for designing a green and resilient supply chain network.
Methodology: In terms of purpose, the present study can be considered as applied research. In terms of data collection, it is a descriptive research because it pays attention to the study and applied knowledge in a specific field. in terms of data type, it is quantitative, and as it examines data related to a period of time, it is a cross-sectional research. The target population is companies active in the cement industry in Bushehr province and the example that has been used to obtain the variables is Dashtestan Cement Company. In this research, mathematical modeling method has been used. The structure of this model is such that a multi-objective optimization model with several constraints will be developed to design a green and resilient supply chain network. The tools of the present research are library and field.This means that in order to develop a multi-objective optimization model for green and resilient supply chain network design, we will use the theoretical literature and experimental background of the research. A questionnaire w