چكيده به لاتين
The special features of food supply chains, especially the seafood industry, which include perishability, globalization of markets and as a result intensifying competition in it, in the complexity of the nature of these chains with regard to waste and uncertainty. has a direct effect. In this way, the expansion of aquaculture farms, in addition to maintaining a stable food source for the country, plays an important role in maintaining and restoring marine reserves along with good employment generation and high currency earning power. in this thesis, the design of the supply chain network of seafood products is discussed, taking into account the perishability in the conditions of uncertainty. The mathematical model presented in this thesis is a multi-objective, multi-period, and multi-product mixed integer model with resilience in mind. Due to the importance of risk in the decisions of chain owners and necessity Addressing it, in the modeling of this dissertation, it has been tried to take into account the risk of accountability of the chain. In this thesis, the concepts related to the research topic are first introduced, then the literature review is presented by categorizing the existing articles in this field in the form of a table, and according to that, the research gaps in This area has been identified and introduced, in the following, after defining the subject of the investigated problem, by presenting the intended planning model, taking into account the simultaneous optimization of costs and deviation from the optimal response of the chain, according to the model Resilient supply chain network in seafood industry is discussed. On the other hand, to deal with the uncertainty in the network, the random programming method based on the scenario has been used. In the presented model, the parameters of the supplier's supply capacity and the available capacity of the distribution centers, respectively, are considered uncertain due to the existence of issues such as the outbreak of disease among aquatic animals and disruption due to equipment failure. In order to increase the efficiency of the model against the uncertain capacity of the distribution centers, attention to resilience has been included in the model by using the ability to strengthen the strength to increase flexibility. In the following, a two-stage stable optimization model is presented to stabilize the non-deterministic model. Finally, in this research, the results of solving the model were examined and it was found that in the model in question, by using the resilience approach, the costs of the chain have been reduced and it has led to the improvement of the economic objective function of the problem. Also, by comparing the efficiency of two-stage stochastic programming methods and robust optimization, it was shown that the presented robust optimization model works more successfully than the stochastic neutral model and with a slight decrease in robustness. The existence of the model will lead to the stability of a more desirable optimality in the solution, and ignoring it will lead to distance from the optimal decisions.
