Main Article Content
High cost and long travel time are the major problems in the cold chain logistics distribution for fresh agricultural products. To solve this problem, the article proposes an urban distribution path optimization model based on real-time traffc conditions for agricultural products’ cold chain logistic. It uses ant colony optimization algorithms to solve the model and using case study to validate. The results show that cold chain delivery of agricultural products, which is based on real-time traffc information, can effectively reduce the travel time of cold chain delivery and improve customer satisfaction.
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Azi, N., Gendreau, M. & Potvin, J. Y. (2007). An exact algorithm for a single–vehicle muting problem with time windows and multiple routes. European Journal of Operation Research, 178(3), 755-766.
Chen, H. K., Hsueh, C. F. & Chang, M. S. (2009). Production scheduling and vehicle routing with time windows for perishable food products. Computers & Operations Research, 36(7), 2311-2319.
Dantzig, G. B. & Ramser, J. H. (1959). The Truck Dispatching Problem. Management Science, 6(1), 80-91.
Liu, H. Y. & Ru, Y. H. (2016). Consistent vehicle routing problem considering traffc congestion and workload balance. Journal of Southwest Jiaotong University, 51(5), 931-937. [in Chinese]
Lv, J. J. & Sun, S. S. (2013). Study on vehicle routing optimization of fresh agricultural products in cold-chain. Guangdong Agricultural Sciences, 33(9), 178-181. [in Chinese]
Miao, X. H., Zhou, X. N., Lin, S., Fang, W. C., Wang, X. M. & Lin, L. J. (2011). Study on Routing Optimization for Cold-chain Logistics Distribution of 3PL. Operations Research and Management Science, 20(4), 32-38. [in Chinese]
Osvald, A. & Strin, L. Z. (2008). A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food. Journal of Food Engineering, 85(8), 285-295.
Pan, X. X. & Gan, H. C. (2016). Study on Cold Chain Logistics Distribution Path Optimization of Considering Carbon Emissions. Mathematics in Practice and Theory, 46(2), 62-68. [in Chinese]
Shi, Z. & Fu, Z. (2013). Distribution location routing optimization problem of food cold chain with time window in time varying network. Application Research of Computers, 30(1), 183-188. [in Chinese]
Tarantilis, C. D. & Kiranoudis, C. T. (2002). Distribution of fresh meat. Journal of Food Engineering, 51(1), 89-91.
Worawattawechai, T., Intiyot, B. & Jeenanunta, C. (2016). Cuckoo search algorithm for the vehicle routing problem with backhauls and time windows. Panyapiwat Journal, 8(2), 136-149.
Xiao, J., Wang, C., Chen, P. & Niu, Y. (2017). The multi-energy heterogeneous ﬂeet vehicle routing optimization under urban traffc restriction. Systems Engineering-Theory & Practice, 37(5), 1339-1348.
Zhao, Y. Y. (2009). Optimization of food cold chain logistics delivery with soft window models. Journal of Anhui Agricultural Sciences, 37(17), 8235-8238. [in Chinese]
Zhou, X. D. (2015). Research on the strategic co-evolution of the agricultural products logistics system based on the self-organization. Chia Business and Market, 29(6), 45-52. [in Chinese]