A Study on Modeling and Simulation of Holonic Manufacturing Systems

研究项目的成果总结如下：(1)从全息部件的自主决策与协作的角度讨论了全息制造系统的基本体系结构。研究了协同调度方法，建立了HMS的整体调度系统。(2)采用面向对象的建模方法，建立了空腔的仿真模型。这些模型代表了HMS中所有零件的决策过程和加工过程。(3)开发了面向对象的仿真系统，对HMS调度算法进行了验证。仿真模型由一组代表加工设备孔和工件孔的对象组成。(4)提出了一种基于遗传算法的协同分级调度方法。该方法根据预先确定的待加工工件的加工顺序，确定合适的单个机床的加工计划。(5)利用Smalltalk开发了协作式分层调度系统的原型，并将其应用于分层制造系统的调度问题。(6)提出了一种基于工件孔中包含的加工特征的加工信息来确定工件孔的加工方案的全息工艺规划系统。(7)提出了一种结合遗传算法和动态规划方法的优化方法，以选择合适的加工顺序和加工设备的合适顺序。该方法可以根据设备的加工进度选择合适的加工设备顺序。该方法为工件操作者提供了一种系统的决策方法，以根据加工特点和加工进度规划合适的加工工艺。(8)应用HMS仿真系统对所提方法进行了验证，通过案例分析表明所提方法对于建立HMS自主协作决策系统是有效的。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