Dynamic control for in-plant milk-run systems with volatile transport demand

运输需求不稳定的厂内牛奶运行系统的动态控制

• 批准号: 280752532
• 负责人: Professor Dr.-Ing. Willibald A. Günthner
• 金额: --
• 依托单位: Lehrstuhl für Fördertechnik, Materialfluss, Logistik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/280752532?language=en
• 关键词: Dynamic; control; plant; milk; run

Recently, transportation systems for in-plant production supply are often organized as in-plant milk-run systems. These systems deliver different materials to various points of use in a single tour with high frequency. In state-of-the-art planning procedures milk-run routes and departure times are planned and fixed long-term assuming constant material demand known well ahead. However, in operational in-plant milk-run systems material demand is volatile in the short term and demand peaks result in expensive exception handling processes. The objective of the research project is to develop a control concept for in-plant milk-run systems, determining routes, departure times and resource allocation dynamically based on current transportation orders and the milk-run systems current state. In contrast to existing planning procedures for milk-run systems, several planning decisions have to be implemented into the control logic. Corresponding decision algorithms are not published and will be developed and evaluated as part of this research. These algorithms continually have to determine, which transportation orders to serve with which resource, on which route and at what time. The aim of this concept is to enable stable system operations even in systems where transportation demand is volatile in the short term and thus avoid costly exception handling procedures. Overall, a reduction of necessary resources is expected in comparison to the static planning scenario due to the resource allocation based on actual transportation orders. Additionally, re-planning of routes and timetables based on long-term changes in demand is obsolete. Furthermore recommendations on typical use cases where the dynamic approach is most beneficial will be derived.

最近，工厂内生产供应的运输系统通常被组织为工厂内牛奶运行系统。这些系统以高频率在单次巡回中将不同的材料输送到不同的使用点。在最先进的计划程序中，牛奶运输路线和出发时间是计划好的，并且是长期固定的，假设事先知道物质需求是恒定的。然而，在工厂内运行的牛奶运行系统中，材料需求在短期内是不稳定的，需求峰值导致昂贵的异常处理过程。本研究的目的是为工厂内的送奶系统开发一个控制概念，根据当前的运输订单和送奶系统的当前状态，动态地确定路线、出发时间和资源分配。与现有的牛奶运行系统的规划程序相反，必须在控制逻辑中实施若干规划决策。相应的决策算法没有发表，将作为本研究的一部分进行开发和评估。这些算法必须不断地决定，哪些运输订单与哪些资源一起服务，在哪条路线上，在什么时间。这个概念的目的是，即使在运输需求短期内不稳定的系统中，也能实现稳定的系统运行，从而避免昂贵的异常处理过程。总的来说，由于资源分配是基于实际运输订单的，因此与静态规划方案相比，预计必要的资源会减少。此外，根据需求的长期变化重新规划路线和时间表已经过时。此外，还将推导出关于动态方法最有益的典型用例的建议。

项目成果

Steuerung von Routenzugsystemen

拖车系统的控制

• DOI: 10.3139/104.111821
• 发表时间: 2017
• 期刊: Zeitschrift für wirtschaftlichen Fabrikbetrieb
• 作者: Hormes;Fottner;Günthner
• 通讯作者: Günthner

Modeling and Simulation of Generic Handling Operations in In-Plant Milk-Run Systems

厂内牛奶运行系统中通用处理操作的建模和仿真

• DOI: 10.1109/icitm.2019.8710720
• 发表时间: 2019
• 期刊: 2019 8th International Conference on Industrial Technology and Management (ICITM)
• 作者: Günthner;Fottner
• 通讯作者: Fottner