چكيده به لاتين
Today, high competition in global markets has forced companies to better design and manage, along with integrating supply chain members. Integration of decisions greatly reduces the costs of the distribution system and increases customer satisfaction. Given that the two approaches of location and routing are critical issues in the supply chain, their integration can play an important role in optimizing distribution systems. The importance of this issue for perishable goods increases due to the shorter shelf life of products and its direct relationship with public health. On the other hand, in recent years, with increasing environmental issues and increasing customer awareness, companies are seeking to implement green operations in their daily activities. In this research, a multi-objective mixed integer nonlinear location routing model for locating fruit distribution centers with multiple transport modes and in multi periods is presented, which aims to reduce total system costs, increase product quality and reduce the environmental effects of carbon emissions. In the proposed model, the parameter of demand is considered uncertain, which uses a scenario-based stochastic approach to deal with uncertainty. To solve the proposed model, The augmented epsilon constraint method is used and finally, in order to show efficiency and performance, the proposed model was implemented as a case study in the “Seven Fruits” online shop and solved by GAMS software.
