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On the multi-compartment vehicle routing optimization of multi-temperature joint distribution with split delivery

• 1、 School of Management, Wuhan University of Science and Technology, Wuhan 430065
• 2、Center for Service Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065

Abstract：Multi-temperature joint distribution vehicle can efficiently deal with a large number of multi-variety, small-batch order needs in cold chain logistics, and the characteristics of multi-compartment also bring greater optimization space for vehicle loading path planning. Therefore, aiming at the problem of route optimization of multi-temperature joint distribution multi-compartment vehicles with split delivery, a mathematical model is established to minimize the total cost of fixed cost, transportation cost, cooling cost and time window penalty cost. Secondly, a hybrid gene-variable neighborhood search algorithm is designed based on the mathematical model. Firstly, genetic algorithm is used to obtain the approximate optimal solution, and three local search methods are designed to improve the current solution according to the characteristics of the problem. Finally, the effectiveness of the proposed model and algorithm for solving the problem of multi-temperature joint distribution multi-compartment with split delivery is verified by experiments. At the same time, the superiority of this strategy is verified by comparing the unsplit delivery strategy with the split delivery strategy in this paper.

Keywords： Multi-temperature joint distribution Multi-compartment vehicle routing problem split delivery Cabin assignment problem