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Conceptional model for multi-echelon inventory of spare parts based on SysML

  • Lilai Zhou
  • , Xiangfeng Ma
  • , Shengge Shi
  • , Fuyong Feng
  • , Linhan Guo
  • Beihang University
  • China State Shipbuilding Corporation
  • The Fifth Military representative office of the Naval Armament Department in Beijing
  • China North Vehicle Research Institute

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A reasonable inventory control strategy can improve production efficiency and enhance service quality. The prerequisite for designing a reasonable strategy is to construct a proper conceptional model of the inventory system. However, due to the complexity and systematic nature of multi-echelon spare parts inventory systems, traditional document-based modeling methods are increasingly difficult to build the model accurately and efficiently. Considering the advantages of Model-Based Systems Engineering (MBSE) in complex system modeling, this paper establishes a conceptional model for the multi-echelon inventory system of spare parts based on SysML. Furthermore, modeling methods and processes specifically tailored to the conceptional model of the multi-echelon inventory system of spare parts are proposed. This approach enables the constructed model to possess excellent normativity, consistency, traceability, and scalability, allows for model visualization and effectively enhances the development efficiency of conceptional model for inventory systems.

源语言英语
主期刊名Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
编辑Ruqiang Yan, Jing Lin
出版商CRC Press/Balkema
778-786
页数9
ISBN(印刷版)9781032746302
DOI
出版状态已出版 - 2025
活动1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023 - Hefei, 中国
期限: 21 9月 202323 9月 2023

出版系列

姓名Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
1

会议

会议1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
国家/地区中国
Hefei
时期21/09/2323/09/23

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