Analyzing the Impact of Vehicle Speed on Distribution Cost for Cold Chain Logistics The cold chain logistics industry has a promising prospect, while high costs impede its development. In order to reduce cost pressure on cold chain logistics, this paper investigates the impact of vehicle speed on distribution cost for cold chain logistics. Firstly, a mathematical model with which to minimize the total cost is constructed. The subcosts consist of fixed costs, fuel costs, refrigeration costs and damage costs. Secondly, an actual case data is used to conduct the experiments. Through experiments, it is demonstrated that optimizing vehicle speed can greatly reduce the total cost of the cold chain logistics. We also find that there is a reasonable speed range where the total cost changes slightly. Furthermore, this paper also discussed the impacts of spoilage rate and unit refrigeration cost on optimal speed and the reasonable speed range. The results show that as spoilage rate and unit refrigeration cost increase, both the optimal speed and the reasonable speed range will firstly increase and then stabilize. Finally, some managerial implications based on our findings were also presented targeting enterprises and the government.

Impact Assessment of Food Delivery on Urban Traffic With the advancement of Internet of Things (IOT) and smart phone, food delivery has been dramatically changed to a new era and more people are willing to order their meals by applications. This study focuses on assessing traffic impact of food delivery service. Features of food delivery are discussed and mathematic formulations are proposed as vehicle routing problem with pickup and delivery including time window (VRPPDTW). Numerical experiments are conducted in a real city network and different scenarios are experimented. The results show that the travel time performance of delivery service is affected by network traffic condition. The benefit of orders combination can be observed through numerical experiments.