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Dynamic composition of holonic processes to satisfy timing constraints with minimal costs

机译:动态组成完整的过程,以最小的成本满足时序约束

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The flexible architecture provided by holonic manufacturing systems (HMS) poses challenges in planning and control of production processes. The challenges are due, in part, to the loosely coupled structure of holons and also to the complex interactions among holons. Development of new methodologies is required to optimize the holonic processes in HMS to achieve the objectives. In this paper, we concentrate on the development of method for the composition of holonic processes. We consider the holonic processes composition (HPC) problem to synthesize processes with minimal costs while meeting the timing constraints in HMS. We formulate this problem based on a hybrid model in which contract net protocol is adopted as the negotiation protocol and timed Petri net is used to analyze the timing and resource constraints. To specify the costs of operations, we augment the timed Petri net with a cost function. We formulate an optimization problem to minimize the cost while meeting the timing constraints based on the Petri net models. A solution to HPC can be represented by a collaborative Petri net. Our methodologies include a condition to check whether the timing constraints can be met, a condition for the existence of an optimal solution to the HPC problem and a multi-layer contract net protocol to find the minimal cost solution.
机译:整体制造系统(HMS)提供的灵活架构在生产过程的计划和控制方面提出了挑战。挑战部分是由于哈龙的松散耦合结构以及哈龙之间复杂的相互作用所致。需要开发新的方法来优化HMS中的整体过程以实现目标。在本文中,我们集中于开发完整过程的方法。我们考虑整体过程组成(HPC)问题,以最小的成本合成过程,同时满足HMS中的时序约束。我们基于一个混合模型来表述这个问题,在该模型中,合同网络协议被用作协商协议,而定时Petri网被用于分析时间和资源约束。为了指定运营成本,我们使用成本函数来扩充定时Petri网。我们根据Petri网模型提出了一个优化问题,以在满足时序约束的同时最大程度地降低成本。 HPC解决方案可以用协作Petri网来表示。我们的方法包括检查是否可以满足时序约束的条件,存在针对HPC问题的最佳解决方案的条件以及用于寻找最低成本解决方案的多层合同网协议。

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