论文标题
基于代理的分散和集成的生产和辅助流程的概念和算法
Concepts and Algorithms for Agent-based Decentralized and Integrated Scheduling of Production and Auxiliary Processes
论文作者
论文摘要
个性化的产品和较短的产品生命周期驱使公司重新考虑传统的批量生产。诸如Industry 4.0之类的新概念促进了分散的生产控制和信息分配的出现。实现这种情况的有前途的技术是多代理系统。这项贡献分析了基于代理的分散和集成计划方法的要求。要求的一部分是开发线性扩展的通信体系结构，因为代理之间的通信是调度执行时间的主要驱动力。该方法以集成方式计划生产，运输，缓冲和共享资源操作，例如工具，以说明它们之间的相互依赖性。物流要求的一部分反映了大型工件（例如缓冲区稀缺）的限制。该方法旨在提供一种通用解决方案，该解决方案也适用于大型系统尺寸，例如，可以在与多家公司的生产网络中找到。此外，它适用于不同种类的工厂组织（流动店，车间等）。使用基于工业要求的示例来解释该方法。已经进行了实验以评估计划执行时间。结果表明该方法的线性缩放行为。同样，对并发谈判能力进行了分析。
Individualized products and shorter product life cycles have driven companies to rethink traditional mass production. New concepts like Industry 4.0 foster the advent of decentralized production control and distribution of information. A promising technology for realizing such scenarios are Multi-agent systems. This contribution analyses the requirements for an agent-based decentralized and integrated scheduling approach. Part of the requirements is to develop a linearly scaling communication architecture, as the communication between the agents is a major driver of the scheduling execution time. The approach schedules production, transportation, buffering and shared resource operations such as tools in an integrated manner to account for interdependencies between them. Part of the logistics requirements reflect constraints for large workpieces such as buffer scarcity. The approach aims at providing a general solution that is also applicable to large system sizes that, for example, can be found in production networks with multiple companies. Further, it is applicable for different kinds of factory organization (flow shop, job shop etc.). The approach is explained using an example based on industrial requirements. Experiments have been conducted to evaluate the scheduling execution time. The results show the approach's linear scaling behavior. Also, analyses of the concurrent negotiation ability are conducted.
