关键词: 众包配送模式, 冷链物流, 时间窗, 客户满意度, 改进遗传算法

Abstract: The crowdsourcing distribution model is becoming an important strategy for improving the quality of cold chain logistics.To ensure the timeliness of cold chain logistics delivery and fully leverage idle social resources,the cold chain distribution model under crowdsourcing model was established with an aim to optimize the goal of minimizing the total crowdsourcing logistics delivery sharing cost of cold chain and maximizing customer satisfaction as well.By combining cold chain logistic delivery with customer service time window,the process self-adaptability of fuzzy opportunity strategy and evolutionary algorithm were employed to adjust the crossover and mutation probability.An improved genetic algorithm was designed to solve this problem for optimizing the solution.Through the simulation and optimization,the flexibility and timeliness of the cold chain logistics distribution model embedded crowdsourcing mode were verified,and the effectiveness of the improved algorithm was proved.

Key words: crowdsourcing mode, cold-chain logistics, time window, customer satisfaction, improved genetic algorithm