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Analytical computation of sojourn time distributions in large-scale conveyer systemsAnalysis of the impact of material flow control policies on the material flow system

大型输送系统滞留时间分布解析计算物流控制策略对物流系统的影响分析

基本信息

批准号：
201809027
负责人：
Professor Dr.-Ing. Kai Furmans
金额：
--
依托单位：
Professur für Technische Logistik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2011
资助国家：
德国
起止时间：
2010-12-31 至 2016-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/201809027?language=en
关键词：
Analytical computation sojourn time distributions

项目摘要

In the planning and dimensioning of complex, networked material handling systems, functionality, layout and facilities were set. The respective intralogistical system should produce a certain logistic performance. Modern logistic systems focus on a time-accurate material supply with short lead times. The logistic performance consists not only of reaching a specific transport or sort amount per time (throughput), but also of ensuring the settlement of orders within a preset time (lead time). The mean values used in the rough planning phase do not suffice here as concrete individual values can sometimes be a multiple of that.The current project phase developed an analysis tool (called Material Flow Analyzer). Time-discrete analytical models form the basis of the analysis tool. In contrast to classical (continuous) analytical models, discrete time models provide not only mean values but also about the probability or likelihood that particular characteristics are achieved (so-called quantiles). This includes waiting times, turnaround and required buffer sizes, for which results can be determined only by means of elaborate simulation experiments. With the Material Flow Analyzer there is a tool available which can calculate required ratios such as utilization, but also probability distributions of lead times and buffer allocations, quickly and without elaborate simulation in not known accuracy.It became evident that control strategies based on material flow node can only inadequately covered by correction factors. For a precise determination of the time they must be modeled explicitly. The amended main material flow node includes crossing elements and storage/retrieval machines.The developed test environment by systematically made tests and calculations show that the time-discrete calculation method has a good agreement with the expected values. The tests systematically carried out by the developed test environment and comparative calculations certify a good correspondence with the values to be expected to the time-discrete analyses. For this reason, it can be assumed that results in some non-trivial network topologies are not owed this new calculation method, but other, already known, hardly quantifiable effects like correlation are responsible.The goal for the continuation of the research project is therefore in addition to the further development of calculation methods to make more detailed and systematic studies with the 'Material Flow Analyzer' tool, to explore different effects such as control strategies or formation, effect and propagation of correlation in time-discrete models of complex material flow systems.

在复杂的、网络化的物料搬运系统的规划和尺寸中，设置了功能、布局和设施。各自的内部物流系统应该产生一定的物流绩效。现代物流系统的重点是时间准确的物料供应与短的交货时间。物流绩效不仅包括每次达到特定的运输或分类数量（吞吐量），而且还包括确保在预设时间内（交货时间）结算订单。在粗略规划阶段使用的平均值在这里是不够的，因为具体的单个值有时可能是它的倍数。当前项目阶段开发了一种分析工具（称为物料流分析仪）。时间离散分析模型构成了分析工具的基础。与经典（连续）分析模型相比，离散时间模型不仅提供平均值，还提供实现特定特征的概率或可能性（所谓的分位数）。这包括等待时间、周转时间和所需的缓冲区大小，这些结果只能通过精心设计的模拟实验来确定。有了物料流分析仪，有一个可用的工具，可以计算所需的比率，如利用率，以及交货时间和缓冲分配的概率分布，快速和不需要详细的模拟，不知道的准确性。由此可见，基于物料流节点的控制策略不能充分覆盖校正因子。为了精确地确定它们的时间，必须明确地建模。修改后的主要物流节点包括交叉单元和存储/检索机器。通过系统的测试和计算，开发了测试环境，结果表明时间离散计算方法与期望值吻合较好。通过开发的测试环境和对比计算系统地进行了测试，证明了与时间离散分析预期值的良好对应。由于这个原因，可以假设一些非平凡网络拓扑的结果不属于这种新的计算方法，而是其他已知的、难以量化的影响，如相关性。因此，除了进一步发展计算方法外，本研究项目的目标是使用“物料流分析仪”工具进行更详细和系统的研究，以探索复杂物料流系统时间离散模型中不同的影响，如控制策略或相关的形成、影响和传播。