Spare Parts Stocking Decision Strategy and Service Logistics Cost Optimization of Two-Echelon Service Logistics System considering Multifailure Mode

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 12
• Main Authors: Wang, Ruiqi, Chen, Guangyu
• Format: Journal Article
• Language: English
• Published: United States Hindawi 2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Availability; Cost analysis; Costs; Decision analysis; Design engineering; Failure; Failure modes; Greedy algorithms; Heuristic methods; Iterative methods; Logistics; Optimization; Optimization models; Repair; Spare parts; Stocking
• ISSN: 1687-5265; 1687-5273; 1687-5273
• DOI: 10.1155/2022/7607985

For the repair level and spare parts stocking decision problems, generally METRIC type methods and level of repair analysis (LORA) are used separately. In practical engineering, the repair level of large-scale systems is usually judged according to the failure modes. The method of judging the repair level by the maintenance success rate is no longer applicable. In the case of multiple failure modes of a large-scale system, considering the requirements of system availability, we build a spare parts stocking decision and service logistics cost optimization model of a two-echelon service logistics system. Aiming at the spare parts stocking allocation problem caused by multiple failure modes, we improve the iterative greedy heuristic algorithm to find the global optimal stocking allocation strategies. Finally, through the analysis of typical examples, the correctness and effectiveness of the model and algorithm are verified. The impact of multifailure mode spare parts stocking allocation strategies on availability and service logistics cost is analyzed. The research results are helpful to simplify the support engineering design process of system engineers and have certain theoretical and application value.