考虑缓冲区大小及在制品数量的多工序生产系统预测维护方法研究

项目名称： 考虑缓冲区大小及在制品数量的多工序生产系统预测维护方法研究

项目编号： No.71471139

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 郑蓓蓉

作者单位： 温州大学

项目金额： 60万元

中文摘要： 以多工序生产系统的预测维护为研究对象，为了解决以单设备的运行状态为基础进行整线预测维护方法存在的不足，从系统层面以解析的方式求解维护策略，提出多工序生产系统的预测维护决策机制。基于数据驱动技术从缓冲区和在制品数据中自动构建瓶颈工位定位模型，可实时区分、检测系统瓶颈的迁移，精确得到生产系统的瓶颈位置和缓冲区容量之间的函数关系；建立考虑缓冲区大小的生产线可靠性模型，分析不同缓冲区容量和在制品数量下的系统可靠性；分析多个维护时机窗口的相互约束关系，提出基于瓶颈和系统可靠性的维护时机窗口的随机模型；构建基于生产运行数据的维护决策模型，设计基于多目标优化的生产过程与维护操作的并行优化决策算法，开发相应的集成运行仿真系统进行验证。研究成果为制造系统的优化运行提供有力的支持，解决如何通过预测维护提高系统可靠性，提升生产线及其设备的可靠性。

中文关键词： 多工序生产系统；预测维护；缓冲区大小；在制品

英文摘要： In order to solve the limits of production line predictive maintenance which based on the single stage processing status, the predictive maintenance decision-making mechanism is presented based on system-level analytical approach. Analyze the production bottleneck station under buffer and WIP data, and quick analyze states switch of buffers and identify bottleneck station based data-driven methods, the function of buffer capacity and bottlenecks of production line is shown accurately. Considering the buffer size, the reliability module of production line is established, and functions of reliability are built. Combined WIP quantity and buffer size, and predict maintenance time of each device, analyze the mutual constraint relations of different maintenance time windows, the stochastic model is presented based on the bottlenecks and reliability. Construct an integrated maintenance decision model including production tasks, processes, device deterioration, cost economical balance, and design the collaborative optimization decision algorithm of production process and maintenance operations based multi-objective optimization, and develop the corresponding integrated operation simulation system to verify. Increase the utilization of device and maintenance resources; reduce failure time and decrease parts production time, improve enterprise efficiency.

英文关键词： Multi-stage production system;Predictive maintenance;Buffer size;WIP