چكيده به لاتين
Nowadays, special attention to environmental and social issues of business activities and industries management practices in both developed and developing countries has led to the introducing a new topic called sustainable development. In the food industry, due to the specific characteristics of food products, this issue is more important, and many managers of the food sectors try to incorporate sustainability considerations in their supply chain in order to create a competitive advantage and a greater market share. In this regard, recently research on sustainable food supply chain has expanded significantly. On the other hand, due to the fluctuations of the markets, the uncertain decision-making environment and the unavailability of sufficient information, it is inevitable to ignore uncertainty and risk aversion in the design of the supply chain network. For this reason, in this research, a multi-objective risk-averse mathematical model has been proposed by considering the three dimensions of sustainable development simultaneously, i.e. economic, environmental and social, in order to design a sustainable supply chain network of processed food products with a fixed shelf life, in which the combination of conditional Value at Risk as a risk measure in two-stage stochastic programming configuration has been used to deal with uncertainty and risk in the network. The proposed model is multi-echelon, multi-product and multi-period which can make several decisions consisiting of optimal number and location for establishing the manufacturers and distribution centers, facility capacity planning, heterogeneous transportation mode selection, the amount of product flow between network echelons, the amount of lost demand, the amount of inventory at the end of each period in the manufacturers and distribution centers, the identification of optimal times for the production and delivery of products according to their perishable characteristics. The presented multi-objective model has been solved using the preeptive fuzzy goal programming approach as a new development of the goal programming method. To show the application of the proposed model and its solution approach, the Solico kalleh factory is examined as a case study and the results of its solution are provided. Finally, several sensitivity analyzes have been performed on the critical parameters of the model and useful managerial implications have been presented for industry managers who wish to optimize their supply chain network and make the most appropriate decisions considering sustainability and risk aversion considerations.
