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:
- 金额:--
- 依托单位:
- 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:
- 关键词:
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.
在规划和确定复杂的、网络化的物资搬运系统的尺寸时,设定了功能、布局和设施。各自的内部逻辑系统应该产生一定的逻辑性能。现代物流系统注重时间精准、交货期短的物资供应。物流绩效不仅包括每一次达到特定的运输量或分拣量(吞吐量),而且还包括确保在预设时间(提前期)内完成订单结算。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平均值的倍数。当前项目阶段开发了一种分析工具(称为物质流分析仪)。时间离散分析模型构成了分析工具的基础。与经典的(连续)分析模型不同,离散时间模型不仅提供平均值,还提供关于实现特定特征的概率或可能性(所谓的分位数)的信息。这包括等待时间、周转时间和所需的缓冲区大小,其结果只能通过精心设计的模拟实验来确定。有了物流分析器,就有了一种工具,它可以快速地计算所需的比率,如利用率,以及提前期和缓冲区分配的概率分布,而不需要以未知精度进行详细的模拟。很明显,基于物流节点的控制策略只能用修正系数来覆盖。为了准确地确定时间,必须对它们进行显式建模。改进后的主物流节点包括交叉单元和存取机,开发的测试环境通过系统的测试和计算表明,时间离散计算方法与期望值吻合较好。由所开发的测试环境和比较计算系统地进行的测试证明,与时间离散分析的期望值有很好的一致性。因此,可以假设,一些非平凡网络拓扑的结果不是由这种新的计算方法造成的,而是其他已知的、难以量化的影响,如相关性。因此,继续研究的目标是除了进一步发展计算方法,利用物质流分析仪工具进行更详细和系统的研究,探索复杂物质流系统的时间离散模型中相关性的控制策略或形成、影响和传播等不同的影响。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Performance evaluation of a transportation-type bulk queue with generally distributed inter-arrival times
- DOI:10.1080/00207543.2015.1092613
- 发表时间:2016-10
- 期刊:
- 影响因子:9.2
- 作者:J. Schwarz;Martin Epp
- 通讯作者:J. Schwarz;Martin Epp
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Professor Dr.-Ing. Kai Furmans其他文献
Professor Dr.-Ing. Kai Furmans的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Professor Dr.-Ing. Kai Furmans', 18)}}的其他基金
Performance analysis and capacity planning for stochastic systems with cut-off service levels
具有截止服务水平的随机系统的性能分析和容量规划
- 批准号:
394845127 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Research Grants
Discrete-time analysis of closed queueing networks in material flow systems
物流系统中封闭排队网络的离散时间分析
- 批准号:
245019792 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Research Grants
Quantitative Analyse stochastischer Einflüsse auf die Leistungsfähigkeit von Produktionssystemen mittels analystischer und simulativer Modellierung
使用分析和仿真建模对生产系统性能的随机影响进行定量分析
- 批准号:
164922740 - 财政年份:2010
- 资助金额:
-- - 项目类别:
Research Grants
Blockiervorgänge in manuellen Kommissioniersystemen mit statischer Artikelbereitstellung
具有静态物品供应的手动拣选系统中的阻塞流程
- 批准号:
46506771 - 财政年份:2007
- 资助金额:
-- - 项目类别:
Research Grants
Generation of analytic throughput models for storage systems
生成存储系统的分析吞吐量模型
- 批准号:
529219715 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
Data- and goal-driven sequential decision making for time-dynamic logistics systems
时间动态物流系统的数据和目标驱动的顺序决策
- 批准号:
502552827 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
相似国自然基金
基于分位数g-computation的多污染物联合空气质量健康指数构建及预测效果评价
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于g-computation控制纵向数据未测混杂因素的因果推断模型构建及应用研究
- 批准号:81903416
- 批准年份:2019
- 资助金额:19.0 万元
- 项目类别:青年科学基金项目
面向MANET的密钥管理关键技术研究
- 批准号:61173188
- 批准年份:2011
- 资助金额:52.0 万元
- 项目类别:面上项目
基于计算和存储感知的运动估计算法与结构研究
- 批准号:60803013
- 批准年份:2008
- 资助金额:18.0 万元
- 项目类别:青年科学基金项目
基于安全多方计算的抗强制电子选举协议研究
- 批准号:60773114
- 批准年份:2007
- 资助金额:28.0 万元
- 项目类别:面上项目
量子计算电路的设计和综合
- 批准号:60676020
- 批准年份:2006
- 资助金额:31.0 万元
- 项目类别:面上项目
相似海外基金
NSF-BSF: Many-Body Physics of Quantum Computation
NSF-BSF:量子计算的多体物理学
- 批准号:
2338819 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Continuing Grant
Discovering Modular Catalysts for Selective Synthesis with Computation
通过计算发现用于选择性合成的模块化催化剂
- 批准号:
2400056 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: AF: Medium: The Communication Cost of Distributed Computation
合作研究:AF:媒介:分布式计算的通信成本
- 批准号:
2402836 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Continuing Grant
Leveraging the synergy between experiment and computation to understand the origins of chalcogen bonding
利用实验和计算之间的协同作用来了解硫族键合的起源
- 批准号:
EP/Y00244X/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
Integration of Advanced Experiments, Imaging and Computation for Synergistic Structure-Performance Design of Powders and Materials in Additive Manufac
先进实验、成像和计算的集成,用于增材制造中粉末和材料的协同结构-性能设计
- 批准号:
EP/Y036778/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
CAREER: Elastic Intermittent Computation Enabling Batteryless Edge Intelligence
职业:弹性间歇计算实现无电池边缘智能
- 批准号:
2339193 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Continuing Grant
CAREER: Architectural Foundations for Practical Privacy-Preserving Computation
职业:实用隐私保护计算的架构基础
- 批准号:
2340137 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Continuing Grant
Probing Electrochemical Interface in CO2 reduction by Operando Computation
通过操作计算探测二氧化碳还原中的电化学界面
- 批准号:
DE240100846 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Discovery Early Career Researcher Award
Integration of Advanced Experiments, Imaging and Computation for Synergistic Structure-Performance Design of Powders and Materials in Additive Manufac
先进实验、成像和计算的集成,用于增材制造中粉末和材料的协同结构-性能设计
- 批准号:
EP/Y036867/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
CAREER: Computation-efficient Resolution for Low-Carbon Grids with Renewables and Energy Storage
职业:可再生能源和能源存储低碳电网的计算高效解决方案
- 批准号:
2340095 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Continuing Grant