摘要
伴随基础建设飞速发展,我国涌现出大量长大隧洞工程,单个工程采用十几台甚至几十台TBM集群化施工。目前,TBM备件管理仍以单一项目(1~2台TBM)建立的独立库存为主,资金承受能力存在上限,且TBM备件需求预测严重依赖个人经验,缺乏有效的理论预测模型。因此,本文提出一种备件分类管理方式及其需求预测模型。首先,根据集群化TBM规模化特点和备件性质,建立包含独立库存和联合库存的TBM分级库存备件管理模式。其次,依托备件的串联系统,分析备件故障与系统故障概率分布,搭建需求预测模型。该模型分步确定保障单项设备持续运转备件满足率为约束的TBM备件初始配置,以及保障TBM整体持续运转的系统满足率为约束且资金占比最小为目标的TBM备件分级优化配置。最后,以某工程作为研究对象,在考虑备件满足率指标与系统满足率指标的条件下对其进行分级库存配置研究。实例结果表明,所述方法可为集群化TBM备件合理化分级配置提供理论依据。
With the rapid development of infrastructure construction,a large number of long and large tunnel projects have emerged in China,and a single project uses a dozen or even dozens of TBM clusters for construction.At present,the spare parts management of TBM is still mainly based on independent inventory established for a single project(1-2 TBMs),with an upper limit on financial capacity.Moreover,the demand prediction for TBM spare parts heavily relies on personal experience and lacks effective theoretical prediction models.Therefore,a spare parts classification management method and its demand prediction model have been proposed.Firstly,based on the characteristics of scaled cluster TBM and spare parts,a management model for TBM graded inventory spare parts has been established,including both independent and joint inventories.Secondly,relying on a spare parts supply system and analyzing the probability distributions of spare part failures and system failures,a demand prediction model is built.The model has stepwise determined the initial TBM spare parts configuration with the constraint of ensuring the continuous operation of individual equipment and the optimized TBM spare parts configuration with the objective of a minimum funding ratio and the constraint of ensuring the system-wide continuous operation of TBM.Finally,taking a specific project as the research object,a study on grading inventory configuration is conducted while considering both spare parts fill rate and system fulfillment rate.The results indicate that,the proposed method provides a theoretical basis for the rationalized graded spare parts configuration of clustered TBM.
作者
黄江帆
罗炜
王宝友
周钇澎
冀国栋
HUANG Jiangfan;LUO Wei;WANG Baoyou;ZHOU Yipeng;JI Guodong(China Railway 18th Bureau Group Corporation Limited,Tianjin 300222,China;Department of Geotechnical Engineering College of Civil Engineering,Tongji University,Shanghai 200092,China)
出处
《铁道建筑技术》
2024年第2期5-9,共5页
Railway Construction Technology
基金
国家自然科学基金项目(52078377)。
关键词
TBM备件
独立库存
联合库存
分级库存
配置优化
TBM spare parts
independent inventory
joint inventory
graded inventory
configuration optimization