A multi-objective model for logistics distribution programming considering logistics service level. (Chinese. English summary) Zbl 1274.90043

Guo, Xiaofang; Wang, Yuping

J. Southwest Jiaotong Univ. 47, No. 5, 874-880 (2012).

Summary: In order to improve the customer satisfaction on the service of logistics distribution, a multi-objective optimization model for logistics distribution programming under the three-level supply chain is developed. In this model, the minimization of total expenses and maximization of logistics service level are optimization objectives, and the influences of both the commodity processing ability and distribution time on the logistics service level are taken into account. Given that there is no single optimal solution for multi-objective optimization problems, a preference-based multi-objective evolutionary algorithm for solving the model is proposed with a pre-defined preference area and a randomly generated weight vector is used to establish the fitness function. The results show that by solving the model, ten non-inferior solutions are obtained, each of which represents a distribution program. The ten solutions without exception lie in the subjective preference area of the decision maker and reflect the conflict relationship between total expenses and logistics service level.

MSC:

90B06	Transportation, logistics and supply chain management
90C29	Multi-objective and goal programming

Keywords:

ability of commodity turnaround; customer satisfaction; logistics service level; logistics distribution programming; preference-based multi-objective