制造系统协调度综合评价与调控方法研究
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摘要
当前制造企业之间的竞争已经演变成了制造系统性能的竞争。制造系统是一个完整制造过程及其多个环节有机结合的系统,制造系统要不断适应外部环境变化,需要对制造系统整体性能进行分析与评价,并且找出本质原因,及时有效地调控调整自身结构和构成要素,进行全局优化,控制制造系统整体性能向良性发展。
由于制造系统构成的复杂性以及内部复杂的相互关系,制造系统整体性能评价以及相应的系统综合调控存在很大困难。论文在国内外研究现状的基础上,针对目前制造系统评价、分析及调控存在的问题,分析了制造系统整体性能影响因素,基于系统工程思想,建立了制造系统协调度评价模型,提出目标协调度、结构协调度与运行协调度共同组成了制造系统协调度评价体系;在协调度内涵基础上,考虑要素间的耦合与相互影响,提出了具体的量化方法,并以某制造企业数据为实例进行详细分析,比较了其两个时间段的协调度。
为找出影响制造系统整体性能的本质原因,进而调控系统达到目标协调水平,对制造系统要素间相互关联与相互作用进行分析,采用贝叶斯网络对制造系统内部结构与功能特性建模,并采用贝叶斯网络学习与推理方法将系统的结构、功能、行为与输出建立关联,量化要素间相互影响;通过实例详细分析,研究了系统结构、系统运行机制对制造系统综合性能的影响,探索了通过系统要素互作用分析指明系统调控方向的方法;并进一步利用动态贝叶斯网络对制造系统动态时间特性进行分析,研究了制造系统要素间的交互演化,以指导制造系统调控。
论文以生产运作系统为实际对象,探讨了制造系统调控问题。论文分析了生产运作调控目标,提出了生产运作调控方案制定原则,在分析生产运作调控要素及相互影响的基础上,考虑到在系统调控时要充分利用系统经验知识,对系统状态做出正确判断,对系统内要素相互影响有明确认识,提出了基于案例推理、遗传算法和贝叶斯网络集成的综合调控方法,并通过实例详细说明了本文提出的调控方法的应用。
为了进一步验证要素调控对系统性能的影响以及调控方案的有效性,支持系统调控以及系统规划与设计,论文最后构建了制造业生产运作多Agent仿真系统,通过仿真对系统调控进行了验证。
The current competition among manufacturing enterprises has evolved into a competitive of manufacturing system performance. To improve the competitive advangtage of the enterprises, it is needed to analyze manufacturing system performance, identify and target the weaknesses, so as to gain more achievements through little efforts.
Manufacturing system is a complete manufacturing process and a organic combination of numerous aspects. To adapt the changing environment, the enterprise must analyze and evaluate the performance of the manufacturing system as a whole, and find the nature origin and cause, adjust and control the construction and key factors to realize the overall optimization, and consequently control the manufacturing system on the healthy evolution.
But the overall optimization of manufacturing systems is very difficult due to the complexity of manufacturing system in which there exists mickle interaction and ambiguous interrelationships. To these problems, this paper analyzed the current problems in manufacturing system evaluate, presented a manufacturing system coordination evaluation model based on system engineering, including target coordination, structural coordination and operating coordination, and proposed the quantitative method. A case study detailed the application of these principles to a particular organization.
To describe the internal structure and functional features of the system behavior and analyze the relationship between the output and these features, the Bayesian network modeling of manufacturing systems was established, the interaction among system elements was analyzed to guide manufacturing system control.
Based on interaction and interdiscipline among system elements, system control must be practical, manufacturing system control method is proposed that integrated Case-Based Reasoning, Genetic Algorithms and Bayes networks. An example was presented that verified the proposed control method was effective and feasible.
To support system adjusting and controlling and to measure the quantitative impact of possible changes in a production operation process, a computer-aided simulation modeling technique based on multi-Agent system was proposed. This paper presented a case study on applying the simulation technique to analyze and adjust a production operation process in the manufacturing industry.The potential utility of the simulation technique for supporting a production operation controlling and planning was discussed and validated.
由于制造系统构成的复杂性以及内部复杂的相互关系,制造系统整体性能评价以及相应的系统综合调控存在很大困难。论文在国内外研究现状的基础上,针对目前制造系统评价、分析及调控存在的问题,分析了制造系统整体性能影响因素,基于系统工程思想,建立了制造系统协调度评价模型,提出目标协调度、结构协调度与运行协调度共同组成了制造系统协调度评价体系;在协调度内涵基础上,考虑要素间的耦合与相互影响,提出了具体的量化方法,并以某制造企业数据为实例进行详细分析,比较了其两个时间段的协调度。
为找出影响制造系统整体性能的本质原因,进而调控系统达到目标协调水平,对制造系统要素间相互关联与相互作用进行分析,采用贝叶斯网络对制造系统内部结构与功能特性建模,并采用贝叶斯网络学习与推理方法将系统的结构、功能、行为与输出建立关联,量化要素间相互影响;通过实例详细分析,研究了系统结构、系统运行机制对制造系统综合性能的影响,探索了通过系统要素互作用分析指明系统调控方向的方法;并进一步利用动态贝叶斯网络对制造系统动态时间特性进行分析,研究了制造系统要素间的交互演化,以指导制造系统调控。
论文以生产运作系统为实际对象,探讨了制造系统调控问题。论文分析了生产运作调控目标,提出了生产运作调控方案制定原则,在分析生产运作调控要素及相互影响的基础上,考虑到在系统调控时要充分利用系统经验知识,对系统状态做出正确判断,对系统内要素相互影响有明确认识,提出了基于案例推理、遗传算法和贝叶斯网络集成的综合调控方法,并通过实例详细说明了本文提出的调控方法的应用。
为了进一步验证要素调控对系统性能的影响以及调控方案的有效性,支持系统调控以及系统规划与设计,论文最后构建了制造业生产运作多Agent仿真系统,通过仿真对系统调控进行了验证。
The current competition among manufacturing enterprises has evolved into a competitive of manufacturing system performance. To improve the competitive advangtage of the enterprises, it is needed to analyze manufacturing system performance, identify and target the weaknesses, so as to gain more achievements through little efforts.
Manufacturing system is a complete manufacturing process and a organic combination of numerous aspects. To adapt the changing environment, the enterprise must analyze and evaluate the performance of the manufacturing system as a whole, and find the nature origin and cause, adjust and control the construction and key factors to realize the overall optimization, and consequently control the manufacturing system on the healthy evolution.
But the overall optimization of manufacturing systems is very difficult due to the complexity of manufacturing system in which there exists mickle interaction and ambiguous interrelationships. To these problems, this paper analyzed the current problems in manufacturing system evaluate, presented a manufacturing system coordination evaluation model based on system engineering, including target coordination, structural coordination and operating coordination, and proposed the quantitative method. A case study detailed the application of these principles to a particular organization.
To describe the internal structure and functional features of the system behavior and analyze the relationship between the output and these features, the Bayesian network modeling of manufacturing systems was established, the interaction among system elements was analyzed to guide manufacturing system control.
Based on interaction and interdiscipline among system elements, system control must be practical, manufacturing system control method is proposed that integrated Case-Based Reasoning, Genetic Algorithms and Bayes networks. An example was presented that verified the proposed control method was effective and feasible.
To support system adjusting and controlling and to measure the quantitative impact of possible changes in a production operation process, a computer-aided simulation modeling technique based on multi-Agent system was proposed. This paper presented a case study on applying the simulation technique to analyze and adjust a production operation process in the manufacturing industry.The potential utility of the simulation technique for supporting a production operation controlling and planning was discussed and validated.
引文
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