关键词: 生鲜农产品, 冷链物流, 物流优化, 供给质量, 遗传算法

Abstract: This general fresh agricultural products logistics process can be divided into some independent units from the harvest to the sales. The energy consumption, quantity loss and quality level in the logistics process are clearly defined through the mathematical modeling. Then, taking the time and temperature of each logistics unit as the decision variables, taking the time limit and refrigeration conditions as the coupling constraints, and taking the minimum loss of energy consumption, quantity and quality as the optimization objective, the multi-objective cold chain logistics process optimization model of fresh agro-foods is established. The solution process based on non-dominated sorting genetic algorithm with elite strategy (NSGA-Ⅱ) is designed. An example of the optimization of Jointech companys cold meat logistics shows that under different constraint objectives, enterprises can obtain a variety of optimal time and temperature combination schemes for decision makers to choose. The multi-objective optimization solution results of cold and fresh meat can be divided into three categories, among which the slaughter time of cold and fresh meat has a greater impact on the loss cost and quality level of the whole logistics process, and more than half of the data obtained through simulation is affected by the slaughter time. With the improvement of the remaining quality level requirements, the impact of the temperature drop of each logistics unit on the loss cost is gradually reduced, especially when the remaining quality level requirements are above 86.4%, which is almost unaffected. At this time, under the established cost target, the company can improve the refrigeration conditions as much as possible to improve the quality level of cold fresh meat.

Key words: fresh agricultural products, cold chain logistics, logistics optimization, supply quality, Genetic algorithm