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作 者:张晓冬[1] 郭栓银[2,3] 陈进[2] 赵东方[2] 余田[2]
机构地区:[1]北京科技大学东凌经济管理学院,北京100083 [2]重庆大学机械工程学院,重庆400030 [3]中科院苏州生物医学工程技术研究所,江苏苏州215163
出 处:《管理工程学报》2013年第3期103-109,102,共8页Journal of Industrial Engineering and Engineering Management
基 金:国家自然科学基金资助项目(70971146);国家自然科学基金重点资助项目(71231001)
摘 要:为了比较不同的组织合作方式对生产系统绩效的影响,分析了生产系统中组织学习行为和主体合作过程,并基于复杂适应系统理论建立了描述生产系统中生产者的主体模型。在其基础上提出一种集成了主体模型、离散生产系统仿真软件、数据处理软件和应用软件开发环境的人人合作仿真方法。以某摩托车发动机自治生产单元为工程背景,详细给出了基于组织学习的人人合作仿真流程,并以订单完成时间、订单准时完成率、人员利用率及组织学习效应为目标矢量比较分析了指定合作与自主合作对生产系统绩效的不同影响。结果表明,自主合作方式下生产单元的组织柔性较高,更容易应对多品种小批量的混流生产环境。In order to understand the influence of different cooperation ways on the performance and flexibility of production systems, operator's skills, organization learning behavior, and cooperation processes of agent are analyzed. Based on the complex adaptive system theory, the agent model for operators in production systems is established. A human cooperation simulation method is proposed by integrating agent model, discrete production system simulation software, data processing software, and application software development environment. In the first part, the agent model is established based on the multi-agent simulation. The operation reponse behavior, decision thinking behavior and cooperation behavior are integrated in this model. Learning ability and cooperation behavior are described andananlyzed. The discrete time constant model could effectively represent the learning process of operators in the production acitvity. At the same time, the cooperation method, which has four sections in the cooperation-seeking process, is designed and expressed. In the second part, the basic simulation process is described. We first establish a discrete simulation model of production system, develop an agent program and its integration interface with simulation software and data processing software, and create an agent class by encapsulating behavior function, load, and call of the DLL program in simulation model. The last part is a case study. The basic information of production cell, experiment design process, and human cooperation simulation procedure based on organization learning are presented in detail in an autonomous engine production cell of motorcycle. The influence of designated cooperation and autonomous cooperation on the performance of production systems is compared and analyzed with target vectors, such as time to complete tasks, rate of orders completed on time, operator utilization, and organization learning effects. The simulation results of autonomous cooperation are more obvious than the designated coope
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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