Goal: This research provides specific solution for dynamic scheduling of product-driven production with unique level of detail and original architecture. Design / Methodology / Approach: Design process of scheduling problem-solving MAS is divided into three steps: agent encapsulation of entities participating in scheduling, including concept of agents and responsibilities they assume, system architecture and topology of the agents network, detailed design of decision scheme of individual agents. Results: Production processes take place in dynamic environment and have to react to numerous real-time events, hence reschedule the production by a new design and implement agent-based model in order to solve dynamic flexible job shop scheduling problem in product-driven production environment. Limitations of the investigation: Designed model counts with simple agents behaving on conditionaction rules. These agents could be replaced by more sophisticated types of agents such as utilitybased or learning agents. Also the implemented coordination mechanism ensuring global view on the scheduling problem is rather simple. Practical implications: Via simulations of realistic production scenarios it was expected to prove an applicability of specific solution of how bringing the intelligence to the lower levels of control system may be used in dynamic scheduling. Based on elaboration of theoretical basis, principles were identified as suitable or widely used in design of such model. Originality / Value: This research provides specific real-time architecture for a multi-agents dynamic scheduling of product-driven production with unique level of detail and scenarios analysis.

中文翻译：

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基于代理的产品驱动生产动态调度模型

目标：这项研究为产品驱动的生产的动态调度提供了特定的解决方案，具有独特的详细程度和原始架构。设计/方法论/方法：调度解决问题的MAS的设计过程分为三个步骤：参与调度的实体的代理封装，包括代理的概念和它们承担的职责，代理网络的系统架构和拓扑，详细的决策设计个别代理商的计划。结果：生产过程发生在动态环境中，并且必须对大量实时事件做出反应，因此通过新设计重新设计生产并实施基于代理的模型，以解决产品驱动的生产环境中动态灵活的作业车间调度问题。调查的局限性：设计的模型通过行为条件规则下的简单代理进行计数。这些代理可以用更复杂的代理类型代替，例如基于实用程序的代理或学习代理。另外，确保对调度问题有全局看法的已实施协调机制也很简单。实际意义：通过对实际生产场景的仿真，可以证明特定解决方案的适用性，该解决方案可将智能技术引入到较低的控制系统中，以用于动态调度。在阐述理论基础的基础上，确定了适合或广泛用于此类模型设计的原理。独创性/价值：这项研究为多代理产品驱动的生产的动态调度提供了特定的实时架构，并具有独特的详细程度和方案分析能力。