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基于TOC和Conwip/pull的制造执行控制系统仿真与优化

TOC and Conwip/Pull Based Simulation and Optimization for Manufacturing Execution Control System

【作者】 曹君

【导师】 王艳红;

【作者基本信息】 沈阳工业大学 , 控制理论与控制工程, 2010, 硕士

【摘要】 制造系统的控制与优化是实现企业预期生产目标的关键,而其中瓶颈资源又是影响系统的负荷平衡及生产效率的主要因素。特别是在当前动态多变的市场环境下,对生产系统瓶颈设备、瓶颈工序的辨识和有效控制,是保证生产系统平稳顺畅运行、提高订单交货期满足率的重要任务。为此,本文分析了Conwip/pull控制系统在处理系统瓶颈存在的问题,提出了基于约束理论(TOC)的制造系统瓶颈资源和制造过程优化的控制方法,并在仿真研究的基础上,给出集成控制系统流通卡数量优化算法和基于改进模拟退火算法(VFSA)的瓶颈资源调度算法,为企业实施该系统提供了保障。论文首先分析了Conwip/pull制造控制系统的特点和制造过程控制与优化问题的实际需求,提出了建立基于约束理论的Conwip/pull集成控制系统模型。在详细地分析该集成系统控制模型和运行机理的基础上,提出了基于TOC的Conwip/pull生产控制系统瓶颈工序的辨识方法。针对Conwip/pull控制系统的仿真以及流通卡数量确定方法的研究还比较鲜见,建立了基于离散事件系统建模与仿真方法的集成控制系统及其内部各模块的仿真模型。给出了集成控制系统的流通卡数量、缓冲系数等参数最优配置的方法。考虑到系统的仿真运行时间比较长,为了提高仿真系统的效率,采用了Ingber提出的快速模拟退火算法(VFSA)来取代传统模拟退火算法,将改进模拟退火算法嵌入到上述仿真系统中进行参数优化。最后,在Witness仿真软件环境下,分别对Conwip系统、Conwip/pull控制系统、基于TOC的集成控制系统进行仿真研究与对比。研究及仿真结果表明,利用TOC理论的确能够有效地解决系统的瓶颈问题,通过利用TOC理论来确立系统瓶颈的新颖方法和瓶颈工序调度机制大大地降低了订单等待时间。

【Abstract】 Manufacturing system control and optimization is the key to achieve enterprises and their production goals, Bottleneck resources which are the main factors to affect system resources, load balancing and production efficiency. To identify and effective control bottlenecks equipment on the production system, which is the important task for ensuring a smooth production system and improving the rate of orders for delivery to meet. Therefore, this paper studied the bottlenecks problem on Conwip /pull control system, proposed a control method on manufacturing systems bottleneck resources and manufacturing process optimization based on the Theory of Constraints (TOC), on the basis of simulation studies, it is given the optimization algorithm about circulation cards number in the integrated control system and bottleneck resource scheduling algorithm based on improved simulated annealing algorithm (VFSA). It has provided an indemnification to implement the system foe enterprises.Firstly, taking into account the problems in dealing with the system bottleneck in the Conwip / pull control system, the hybrid control system model is formulated with respect to DBR (Drum-Buffer-Rope) technique and a novel TOC based bottleneck resources discovery and scheduling mechanism is presented. After a detailed analysis of the integrated system control structure and operation mechanism, proposed Conwip / pull production control system based on TOC to identify bottlenecks processes.Secondly, most of the literatures has merely introduced or explained the concept of the hybrid model, the system parameters optimization or other related problem have not yet been studied in-depth. It is established an integrated control system based on discrete event system modeling and simulation and its various modules of the integrated control system simulation model. The optimal parameters allocation method is given about the circulation cards number and buffering coefficient of the integrated control system. Thirdly, taking into account the simulation system run-time is relatively long and in order to improve the efficiency of the simulation system, hence, it has adopted a fast simulated annealing algorithm (VFSA), which is proposed by Ingber to replace the traditional simulated annealing algorithm, make the improved simulated annealing algorithm embed into the simulation system, it greatly improved the efficiency of the system simulation and obtained the optimal solution.Finally, for the purpose of verifying the validity of above methods, simulations under witness environment were done and the comparison among the Conwip, Conwip/pull and integrated control system was given. The simulation results showed that the proposed hybrid system can solve the bottleneck problem effectively and enhanced the productivity of the system and reduced the delay time greatly by the TOC based novel bottleneck resources discovery and scheduling mechanism.

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