摘要：This work proposes a method for the joint optimization of the maintenance and spare parts inventory to maximize the reliability of gas supply in a pipeline system. The method trades off maintenance costs and risk of gas shortages. System failure probability calculation and system maximum supply capacity analysis, joint opti-mization modeling and system maintenance planning, are performed. A gas compressor station is considered as object of the analysis and a discrete Markov model is used to describe the state transition process. A supply capacity model is proposed to analyze the maximum supply capacity of the pipeline system under different failure scenarios. The joint optimization of maintenance and spare parts inventory is performed using a genetic algorithm to optimize the inspection interval and spare ordering time, considering the stochastic behavior of lead time. The effectiveness of the method is validated on a case study of a pipeline system in China. The results demonstrate that the proposed method outperforms others in identifying optimal maintenance strategies. In addition, the sensitivity analysis of critical parameters is analyzed in detail, which can further ensure the robustness of the method.

关键字：Pipeline system; Gas supply reliability; Maintenance; Markov model; Genetic algorithm; Joint optimization

ISSN号：2949-9097

卷、期、页：卷110

发表日期：2023-02-01

影响因子：0.000000

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：GAS SCIENCE AND ENGINEERING

参与作者：恩里克.齐奥,李悦君,郝玉成

通讯作者：范霖,张丽,彭世亮,何宇轩

第一作者：苏怀,张劲军

论文类型：期刊论文

论文概要：范霖,苏怀,恩里克.齐奥,李悦君,张丽,彭世亮,何宇轩,郝玉成,张劲军，Supply reliability-driven joint optimization of maintenance and spare parts inventory in a gas pipeline system，GAS SCIENCE AND ENGINEERING，2023，卷110

论文题目：Supply reliability-driven joint optimization of maintenance and spare parts inventory in a gas pipeline system