Multi-period Reliable Network Design of Fourth Party Logistics base on Krill Herd Algorithm
Jia Li, Rui Hu Li, Yanqiu Liu · 2020
In order to make the Fourth Party Logistics (4PL) system operate safely and efficiently in dynamic environment, the multi-period reliable network design of 4PL with consideration of random disruptions is studied. A mathematical model is formulated, which maximizes the reliability of the 4PL system subjective to investment cost. Based on the NP-hard characteristic of the problem, the Krill Herd Algorithm (KHA) and Artificial Fish Swarm Algorithm (AFSA) are presented and the performance of the algorithm is tested by simulation examples. According to the simulation of MATLAB, the KHA performs better in effectiveness and stability than the AFSA. Decision makers can invest in redundant resources to improve the reliability of the 4PL network considering the investment cost constraint.