The cold chain logistics distribution industry not only demands all goods can be timely distribution but also requires to reduce the entire logistics transportation cost as far as possible, and distribution vehicle route optimization is the key problem of cold chain logistics transportation cost calculation. The traditional optimization method spends a lot of time to search so that it is tough to find the globally optimal path approach, which results in higher distribution costs and lower efficiency. To solve the abovementioned problems, a cold logistics distribution path optimization solution, ground on an improved ant colony optimization algorithm (IACO) is formulated. Specially, other constraints, e.g., the transport time factor, transport cooling factor, and mean road patency factor, can be added to the unified IACO. Meanwhile, the updating mode of traditional pheromone is improved to limit the maximum and minimum pheromone concentration on the road and change the path selection transfer probability. The simulation results and experiment make clear that the IACO algorithm is lower than the chaotic-simulated annealing ant colony algorithm (CSAACO) and the traditional ACO algorithm in terms of convergence speed, logistics transportation distance, and logistics delivery time. At the same time, we have successfully obtained the optimal logistics distribution path, which can provide valuable reference information for improving the economic benefits of cold chain logistics enterprises.

No abstract

In order to reveal the relationship between optimizing a certain function of system and optimizing the relevant functions provided necessarily by its subsystems to realize the function of system, this paper studies the systematic mechanism of the function of system not being equal to the sum of the relevant functions of its subsystems based on function additivity, and obtains some laws about optimizing system and its subsystems on condition that these functions are additive. In addition, it lays a foundation for the further research, i.e. how to ascertain the function provided necessarily by every subsystem and the value of it when we want a system or a certain function of it to be optimal.

No abstract

The economic and social progress under the new era has put forward new requirements for logistics talents. Based on the teaching concept of OBE-CDIO as well as the training program and objectives of logistics management major in Guangzhou Maritime University, this study analyzes and discusses how the Logistics System Planning and Design course, which is targeted at students majoring in logistics management, enables the students to meet the graduation requirements by virtue of realizing the course objectives.