چكيده به لاتين
One of the most important issues in supply chain management and distribution is the location-routing problem. The problems of locating facilities and vehicle routing Considered in an integrated problem in this problem. Many urban areas usually face challenges such as narrow streets and traffic congestion that makes the distribution difficult. In addition, urban development, population growth, resource constraints and rising costs in different parts of the distribution system, encourage us to use new ideas to reduce costs and, at the same time, improve service levels. Another challenge in the real world is the existence of various uncertainties. The most common uncertainties that are considered in various researches are uncertainty in customer demand and uncertainty in time. In this study, two goals have been considered: reduce transportation costs and increase customer satisfaction; and a new type of time window location-routing problem is described, titled "Location-routing problem with Mobile Depth". This problem is modeled by a complex integer programming method, in which the parameter of travel time is considered uncertain. For the computational experiments, the actual data from the TIPAX-post company has been used. To solve the small and medium scale of problems, GAMS has been used and to solve large scale problems the genetic algorithm of meta-heurustics methods is used. The results suggest that the predictive model is useful for real-world issues. Also, the proposed solution methods, when calibrated in accordance with real-world issues, are capable provide a high quality response at the right time.
Keywords: Location-routing problem, Mobile depot, Uncertain data, Robust optimization, Genetic algorithm
