كوثر ذبيح پور

Nowadays, in order to progress, organizations are looking for a competitive advantage over other competitors, reducing costs, satisfying more customers and having a strong logistics system. The complexities in integrated processes lead managers to consider third-party logistics service providers as a suitable option for process outsourcing. Current environmental issues and social concerns have led to a significant increase in research on sustainable supply chains compared to previous years. When a disruption occurs in the supply chain network, managers set aside sustainability goals to return to their original state as quickly as possible. Therefore, it is better to see the occurrence of disruption from the beginning and the goals of sustainability in the design of the food supply chain so that the chain can continue to operate in the event of a disruption. In this research, a mathematical model for the design of the perishable food cold supply chain network is presented, taking into account the sustainability under the risk of disruption. The network under is a multi-product, and a multi-period. This model aims to optimize the number of processing centers and the amount of inventory at the end of each period according to product perishability and The rate of flow between different levels of the supply chain with three conflicting goals: economic, environmental and social. The source of the disruption in the proposed model is the spread of diseases in livestock, which is a type of epidemic disruption and causes a decrease in the supply capacity of livestock farms. To deal with this kind of disruptions, the proactive resilience strategy of fortification has been investigated. Also, due to the uncertainty in the demand parameter and the meat rejection percentage after inspection in the slaughterhouse, the problem has been modeled with stochastic programming approach that based on the combination of scenario-based stochastic planning and the minimum-maximum relative regret approach and the multi-objective problem has been turned into a single objective with the Preemptive Fuzzy Goal Programing (PFGP). Finally, a case study of packaged red meat supply chain in Iran has been conducted to eva‎luate the efficiency of the proposed model and after implementing the proposed model in the case study, five processing centers were selected in the cities of Behshahr, Amol, Nowshahr, Tankabon and Ramsar. The results of the sensitivity analysis showed that the economic objective function increases with increasing demand, decreasing the capacity of processing centers and decreasing the yield of meat from each animal. Also, by applying the resilience approach, the economic objective function increases, but it prevents the disruption of the chain's performance.

زنجيره تأمين سرد , اختلالات اپيدميك , پايداري , تاب‌آوري , لجستيك طرف سوم

Cold Supply Chain , Epidemic Disruptions , sustainability , resiliency , third party logistics

Kosar Zabihpoor

Dr. Jabalameli