Research on Repairable Aviation Spares Inventory Optimization Based on Modified Minimum Variance Control

Authors

Xiuyan Wang, School of Aviation Automation, Civil Aviation University of China, Tianjin 300300, China;
Gewen Zhang, School of Aviation Automation, Civil Aviation University of China, Tianjin 300300, China;

Abstract

Abstract: Aiming at the difficulty in repairable aviation spares inventory optimization and scientific management, modified minimum variance control algorithm was introduced to repairable aviation spares inventory optimization. With audio control panel as the research subject and “maintenance production-inventory-aviation supplies complementarity” being viewed as a generalized physical system, combined with the uncertainty existing in the process of actual aviation supply loss, repairable aviation spares inventory control system model was established. By using minimum variance control strategy, and increasing the analytic hierarchy procedure, softness factor and extended predictive step length were estimated. Using Matlab-simulink, a simulation platform and achieve simulation research was built. The result shows that compared with the traditional minimum variance control, the performance effect of the improved control strategy is much better.

Recommended Citation

Wang, Xiuyan and Zhang, Gewen (2020) "Research on Repairable Aviation Spares Inventory Optimization Based on Modified Minimum Variance Control," Journal of System Simulation: Vol. 29: Iss. 1, Article 16.
DOI: 10.16182/j.issn1004731x.joss.201701016
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/16

First Page

115

Revised Date

2015-09-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701016

Last Page

119

CLC

TP391.9

Recommended Citation

Wang Xiuyan, Zhang Gewen. Research on Repairable Aviation Spares Inventory Optimization Based on Modified Minimum Variance Control[J]. Journal of System Simulation, 2017, 29(1): 115-119.

DOI

10.16182/j.issn1004731x.joss.201701016