Title: A multi-layer distributed power material allocation system based on intelligent optimal scheduling model
Authors: Yong Deng
Addresses: Supply Quality Division of Material Department, State Grid Sichuan Electric Power Company, Sichuan 610000, China
Abstract: The traditional power material allocation system has the problems of long material distribution path and long material scheduling time. Therefore, a multi-layer distributed power material allocation system based on intelligent optimisation scheduling model is designed. In the hardware part, the material allocation decision-making module, scheduling data storage module, material transportation risk measurement module and material allocation path information acquisition module are designed. In the software part, the minimisation of material allocation time and the shortest transportation path are determined as the objective function, the intelligent optimisation scheduling model is established, and the genetic algorithm is used to solve the model to complete the power material allocation. The test results show that the deployment effect of this system is better and the deployment path is shorter, which is about 4 km shorter than the traditional method.
Keywords: intelligent optimisation scheduling model; material allocation; risk measurement; genetic algorithm.
DOI: 10.1504/IJASS.2023.134367
International Journal of Applied Systemic Studies, 2023 Vol.10 No.3, pp.220 - 231
Received: 15 Mar 2022
Accepted: 05 Jul 2022
Published online: 19 Oct 2023 *