物与信息混合驱动的带返修生产系统性能分析  

Performance Analysis for Information and Part Flow Driven Production Systems with a Repair Loop

作　　者：陈文冲 阮渊鹏 李建国[2] 齐二石[2] CHEN Wenchong;RUAN Yuanpeng;LI Jianguo;QI Ershi(College of Management,Hangzhou Dianzi University,Hangzhou,310018;College of Management and Economics,Tianjin University,Tianjin,300072)

机构地区：[1]杭州电子科技大学管理学院,杭州310018 [2]天津大学管理与经济学部,天津300072

出　　处：《中国机械工程》2022年第21期2578-2589,共12页China Mechanical Engineering

基　　金：国家社会科学基金(15ZDB151);国家自然科学基金(71801064,72201082)。

摘　　要：聚焦物与信息两流混合驱动的含返修闭环异步串联生产系统,在综合考虑加工设备和信息控制设备随机故障的基础上研究了生产和信息控制参数对复杂生产系统稳态性能的影响。基于工件加工与信息的交互作用关系,采用重叠分解法将该系统拆分成多个混合驱动的装配和拆卸子系统。建立了前向和反向递归迭代算法来估计系统稳态生产率。数值实验与工业缝纫机数字化生产线案例验证了迭代算法在识别系统瓶颈和估算系统稳态性能等方面的有效性。Focus on an information and part flow hybrid driven asynchronous serial production systems(HASPS) with a rework loop,the impacts of processing and information control parameters to the steady-state performance of a complex production system were analyzed with the consideration of random breakdown of manufacturing devices and information control devices.Based on the interactive relationship between part flows and information flows,the HASPS with a rework loop was split into various hybrid driven sub-assembly systems and sub-disassembly systems by overlapping decomposition approach.A forward-and backward recursive algorithm was proposed to estimate system steady-state throughput.Numerical experiments and acase for digital production systems of industrial sewing machines verified the efficiency of the recursive algorithm in identifying the bottlenecks and estimating the steady-state performance.

关 键 词：信息流 异步系统 返修 递归算法 稳态性能 

分 类 号：TH186[机械工程—机械制造及自动化]