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A novel multi-agent scheduling mechanism for adaptation of production plans in case of supply chain disruptions

机译：供应链中断时的生产计划改编的新型多功能调度机制

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摘要

Manufacturing companies typically use sophisticated production planning systems optimizing production steps, often delivering near-optimal solutions. As a downside for delivering a near-optimal schedule, planning systems have high computational demands resulting in hours of computation. Under normal circumstances this is not issue if there is enough buffer time before implementation of the schedule (e.g. at night for the next day). However, in case of unexpected disruptions such as delayed part deliveries or defectively manufactured goods, the planned schedule may become invalid and swift replanning becomes necessary. Such immediate replanning is unsuited for existing optimal planners due to the computational requirements. This paper proposes a novel solution that can effectively and efficiently perform replanning in case of different types of disruptions using an existing plan. The approach is based on the idea to adhere to the existing schedule as much as possible, adapting it based on limited local changes. For that purpose an agent-based scheduling mechanism has been devised, in which agents represent materials and production sites and use local optimization techniques and negotiations to generate an adapted (sufficient, but non-optimal) schedule. The approach has been evaluated using real production data from Huawei, showing that efficient schedules are produced in short time. The system has been implemented as proof of concept and is currently reimplemented and transferred to a production system based on the Jadex agent platform.
机译：制造公司通常使用精致的生产计划系统优化生产步骤，通常提供近最佳解决方案。作为提供近乎最佳进度的缺点，规划系统具有高计算需求，从而产生数小时的计算。在正常情况下，如果在进行时间表之前有足够的缓冲时间，这不是问题（例如，第二天晚上）。但是，如果发生意外的中断，例如延迟部分交付或有缺陷的制造商品，则计划的时间表可能变得无效，并且需要迅速重新加工。由于计算要求，现有最佳规划者不适合这种直接重新划分。本文提出了一种新的解决方案，可以在使用现有计划的情况下有效和有效地执行重新进行重新进行重新进行复制。该方法基于这些想法，尽可能基于有限的本地变化来遵守现有计划。为此目的，已经设计了一种基于代理的调度机制，其中代理代表材料和生产站点，并使用局部优化技术和谈判来生成适应的（足够但不最佳）的时间表。通过来自华为的实际生产数据评估了该方法，显示了在短时间内生产有效的时间表。该系统已被实施为概念证明，目前正在重新实现并转移到基于Jadex代理平台的生产系统。

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  • 来源
    《AI communications》 |2020年第1期|1-12|共12页
  • 作者

    Tan Jing; Braubach Lars; Jander Kai; Xu Rongjun; Chen Kai;

  • 作者单位

    Huawei Technol Co Ltd Shenzhen Guangdong Peoples R China;

    City Univ Appl Sci Bremen Bremen Germany|Actoron GmbH Hamburg Germany;

    Actoron GmbH Hamburg Germany|Brandenburg Univ Appl Sci Brandenburg Germany;

    Huawei Technol Co Ltd Shenzhen Guangdong Peoples R China;

    Huawei Technol Co Ltd Shenzhen Guangdong Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Supply chain management; multi-agent system; agent; simulation;

    机译：供应链管理;多功能制度;代理;模拟;

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