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【目的】随着社会货物多样性需求的增大,多温共配不断发展,而蓄冷式MTJD又是冷链物流行业中一个新型的概念。【方法】针对蓄冷式MTJD模式下的多温度需求货物的配送调度问题,考虑时间窗约束,建立了以总配送成本最小为目标的混合整数规划模型,其中总配送成本主要包括蓄冷箱成本、车辆运输成本和惩罚成本等。针对该模型,设计了适合求解蓄冷式MTJD模型的染色体编码方式以及遗传算子,对算例进行求解。并通过利用Cplex对算例重新编写代码、求解,验证了遗传算法的有效性。【结果】蓄冷式MTJD的各个区间的温度可以根据需求自由地设置,保温性能也明显优于机械式冷冻车厢区隔式MTJD。【结论】蓄冷式MTJD在配送成本上相较于传统冷链配送模式以及机械式冷冻车厢区隔式MTJD具有明显优势,是一种值得推广的冷链物流配送模式。
【Objective】 With the increasing demand for social goods diversity, the development of multi-temperature distribution continues to grow, and the regenerative cooling MTJD is a new concept in the cold chain logistics industry. 【Method】 A mixed integer programming model is proposed to minimize the total delivery cost considering the scheduling problem of multi-temperature demand goods in cold storage MTJD mode. Considering the time window constraints, the total distribution cost mainly includes the cost of cold storage tank, Transportation costs and penalties and so on. According to the model, a chromosome coding method and a genetic operator suitable for solving the cool-storage MTJD model are designed and the examples are solved. And through the use of Cplex to rewrite the example code, solve, verify the effectiveness of genetic algorithms. 【Result】 The temperature of each interval of cool storage type MTJD can be set freely according to the demand, and the thermal insulation performance is obviously better than the mechanical frozen compartment partition type MTJD. 【Conclusion】 The regenerative MTJD has obvious advantages in terms of delivery cost compared with the traditional cold-chain delivery mode and mechanical frozen compartments MTJD, which is a worthy promotion of cold chain logistics distribution mode.