Multicycle Inventory Routing Problems For Perishable Goods

Inventory and transportation logistics systems to achieve "utility space" and "time utility" two important functional elements, are the two most important modern logistics segment, accounting for about two-thirds of total logistics costs of both consumption. Because of the trade off of inventory and transportation, separate or transport, inventory control optimization is not conducive to reduce logistics costs from the supply chain as a whole. Inventory Routing Problem integrate optimize inventory and shipping, from a systematic point of view to distribution centers spread across multiple customers in different geographical locations product, according to its actual needs over the planning period to meet certain constraints, customer replenishment arrangements time, and the number of vehicle routes, so that the system average total cost is minimized.Firstly, an analysis of the research background, significance, and from the typical inventory routing problem, typical inventory routing problem, carbon emissions, summed up the four aspects Algorithm current research. Then the inventory routing problem related to the classical theory, the concept and connotation, factors were briefed, laid the theoretical foundation for the full text. In multi-cycle, customer demand random state, taking inventory and path constraints in the distribution route, distribution volume as decision variables, logistics system a larger proportion of inventory holding costs, cargo damage costs, vehicle fuel costs, labor costs driver minimize the total cost as the objective function, and by reducing fuel consumption to reduce carbon emissions, establishment of a multi-cycle path problem perishable inventory model. For this model, we designed a pair coding, crossover and mutation genetic algorithm, to be improved through genetic process, and fully guarantee the superiority and population diversity, with a strong ability to search for the optimal solution. Finally, a case study by agricultural cooperatives and is located in the periphery of 20 sale centers, to verify the effectiveness of the algorithm and the advanced nature of the model.