Mathematical modeling for selecting resilience scenarios for the sesame industry supply chain in Yazd province with climate change and market fluctuations
نویسندگان
1 Department of Industrial Management, Ya. c., Islamic Azad University, Yazd, Iran
2 Department of Industrial Management, Ya. c., Islamic Azad University, Yazd, Iran
3 Department of Industrial Management, Ya. c., Islamic Azad University, Yazd, Iran
4 Department of Industrial Management, Ya. c., Islamic Azad University, Yazd, Iran
doi
10.22091/jemsc.2025.12751.1270چکیده
In this paper a mixed integer nonlinear programming (MINLP) model, which is nonlinear due to the adoption of a comprehensive objective function, has been proposed. The results of this study show that using mathematical models, various scenarios can be designed to assess the resilience of the supply chain in various dimensions such as technical; cost; market; and organizational. These scenarios allow managers and decision makers to identify the strengths and weaknesses of the supply chain by simulating different conditions and adopt effective strategies to improve resilience. According to the results obtained, the total utility generated by assigning scenarios to each risk is calculated to be 1442 and the total cost of this allocation is 41301 monetary units. This research shows that designing supply chain resilience scenarios for sesame industries not only helps to improve the efficiency and sustainability of these industries, but also brings them closer to achieving the goals of sustainable development and conservation of natural resources.
