Study On Optimization Of A Company Cold Chain Logistics Distribution

With the development of the Internet,the consumption pattern of modern people is changing,and online consumption has gradually become the main way of people's living consumption.Due to its characteristics of easy corruption and high distribution cost,fresh products have caused serious obstacles in the evolution of such products from offline to online.How to reduce the distribution cost under the premise of ensuring the quality of distribution service has become an important issue for the development of e-commerce logistics distribution.Therefore,it has high practical significance.Company A is a local seafood company in Xiamen.The company has a complete cold chain logistics city distribution facility equipment system.Currently,these distribution resources mainly serve the preservation,processing and self-operated distribution services of A company's products.Since 2014,the demand for family and personal customers has increased sharply.Due to the scattered location of these customers,the low demand for goods and the demanding delivery time,the company lacks a perfect urban distribution system and scientific management methods,resulting in a significant increase of distribution costs.Growth,distribution efficiency and delivery service quality have casued a series of problems problems.In order to help Company A solve the main problems of current urban distribution.This thesis has conducted the following invesgigations.On one hand,considering the individual customer demands of Company A dramatically increase,the individual and family customer(2C)distribution mode need to be adjusted and improved.Based on the company's historical transaction data for the distribution site selection,the individual and family customers employ the second-level delivery method for distribution service.Based on the historical data,the effects of the adjusted distribution quality,distribution costs,customer demands,and cost savings are verified by comparing the distribution results between the old and new distribution methods.The derived comparison results indicate that the proposed distribution method significatly improve the distribution services of Company A.On the other hand,because Company A currenlty lacks of a scientific managment process in handling the distribution and replenishment for large scale custoemrs(2B),this work proposes an optimasation model to address this problem.The distribution costs of Company A are brokedown and analysed.A distribution route optimization model is developed with the aim to minimize the distribution costs,while satisfying several other distribution constraints.The optimization model is then solved by using a genetic taboo algorihtm.Based on the verification of the path established in this thesis,the optimization model can reduce the distribution cost and improve the quality of distribution service.The impact of the delivery time on the delivery service quality and the impact of different time window cost strategies on the distribution plan are analyzed.