A Study on Modeling and Simulation of Holonic Manufacturing Systems

研究项目的结果总结如下。(1)从合弄部件（合弄）的自主决策与协作的角度讨论了合弄制造系统（HMS）的基本结构。特别是，合作调度方法进行了研究，建立一个合子调度系统的HMS。(2)采用面向对象的建模方法，建立了合弄的仿真模型。该模型代表了HMS中所有合弄的决策过程和加工过程。(3)为了验证HMS的调度算法，开发了一个面向对象的仿真系统，仿真模型由一组表示加工设备合弄和工件合弄的对象组成。(4)提出了一种基于遗传算法的协同递阶调度方法。提出的方法确定合适的加工计划的个别机器 ...更多信息 加工holons指的是待加工工件的预定加工顺序。(5)利用Smalltalk开发了一个协同递阶调度系统原型，并将其应用于递阶制造系统的调度问题。(6)提出了一种基于加工特征信息的合弄工艺规划系统，该系统能够根据工件合弄中的加工特征信息为工件合弄确定合适的工艺方案。(7)提出了一种将遗传算法和动态规划相结合的优化方法，用于选择合适的加工顺序和加工设备的顺序。该方法可以根据设备的加工计划选择合适的加工设备顺序。该方法为工件合弄提供了一种基于加工特征和加工计划的加工工艺规划系统决策方法。(8)通过HMS仿真系统验证了所提方法的有效性，并通过实例分析表明，所提方法对建立HMS中的自主协同决策系统是有效的。少

The results of the research project are summarized in the followings.(1) A basic architecture of holonic manufacturing systems (HMS) was discussed from the viewpoint of the autonomous decision-making and cooperation of the holonic components (holons). In particular, cooperative scheduling methodologies were investigated to establish a holonic scheduling system of the HMS.(2) Simulation models of the holons were proposed by applying the object-oriented modeling method. The models represent the decision-making processes and the machining processes of all the holons imt the HMS.(3) An object oriented simulation system has been developed, aimed at verifying the scheduling algorithms of the HMS.The simulation model consists of a set of object representing the machining equipment holons and the workpiece holons.(4) A cooperative and hierarchical scheduling method was proposed based on the Genetic Algorithms. The proposed method determines suitable machining schedules of the individual machin … More ing holons referring to the pre-determined machining sequences of the workpieces to be machined.(5) A prototype of the cooperative and hierarchical scheduling system has been developed by using Smalltalk, and applied to the scheduling problems of the hierarchical manufacturing systems.(6) A holonic process planning system was proposed to determine suitable process plans for the workpiece holons based on the machining information about the machining features included in the workpiece holons.(7) An optimization method was proposed by applying both the Genetic Algorithm and Dynamic Programming method, in order to select suitable machining sequences and suitable sequences of machining equipment. The proposed method can select suitable sequences of the machining equipment considering the machining schedules of the equipment. The method provides the workpiece holons with a systematic decision-making method to plan a suitable machining processes based on both the machining features and the machining schedules.(8) The proposed methods me verified by applying the simulation system of the HMS, and it was shown through the case studies that the proposed methods are effective to establish the autonomous and cooperative decision-making system in the HMS. Less