基于Agent的生产与辅助过程分散与集成调度的概念与算法
Concepts and Algorithms for Agent-based Decentralized and Integrated Scheduling of Production and Auxiliary Processes
摘要：
个性化的产品和更短的产品生存周期促使企业重新思考传统的大规模生产。工业4.0等新概念促进了分散式生产控制和信息分配的出现。一个有前途的技术，实现这样的场景是多代理系统。这一贡献分析了基于代理的分散和综合调度方法的要求。部分要求是开发一个线性扩展的通信架构，因为代理之间的通信是调度执行时间的主要驱动因素。该方法以综合的方式调度生产、运输、缓冲和共享资源操作，例如工具，以考虑它们之间的相互依赖性。部分物流要求反映了对大型工件的限制，例如缓冲区稀缺。该方法旨在提供一种通用的解决方案，也适用于大型系统，例如，可以在多个公司的生产网络中找到。此外，它适用于不同类型的工厂组织（流水车间，作业车间等）。该方法是解释使用一个例子的基础上，工业要求。实验已经进行了评估调度执行时间。结果表明，该方法的线性缩放行为。同时，对并发协商能力进行了分析.
英文摘要：
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.
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