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
• 负责人: Professor Dr.-Ing. Kai Furmans
• 金额: --
• 依托单位: Institut für Konstruktionswissenschaften und Produktentwicklung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/529219715?language=en
• 关键词: Generation; analytic; throughput; models; storage

Research context: Together with the costs per storage location, throughput and storage capacity considerations are important requirements in the planning and selection of a storage system. Travel times and throughput are helpful during the early conceptualization, design and planning phases of new storage systems, where different systems have to be compared based on these performance parameters. It seems to be possible to derive the approaches for determining the throughput and the travel times of storage systems by modularly capturing and combining the basic functions of a storage system - handling of a tote, movement of a tote in three-dimensional space, storing and restoring of a tote - and the relationships between these functions. Besides the deterministic time components for movement, the stochastic components resulting from the distribution of goods in the storage system and waiting times at the transitions between different basic functions, have to be considered. Hypotheses The working hypothesis of this research project is to find a method to map all currently existing storage systems from a valid morphological box, to derive all conceivable possible storage systems and configurations. Additionally, the generation of analytical models for all derived systems to calculate the predefined system parameters (throughput, travel times, etc.), and to derive a new, quantifiable understanding of the relationships in storage systems, should be possible. The modularity of the models and methods provides the possibility of deriving new storage system types with their corresponding approaches. Approach: For this purpose, the different work packages include the creation of a morphological box and the development of a method of automatic travel time model derivation. To validate the travel times and the automatic method, a simulation model will be built in addition. Level of originality: Over the last 60 years, material handling providers have repeatedly developed new storage systems, for which science subsequently developed the corresponding analytical approaches for determining the travel times and throughputs. These were put into easily accessible industry guidelines in the course of the following years. A critical analysis would find that the scientific progress has been driven by technical developments and has lagged behind in providing analytical modeling to existing systems. Showing, that it is possible to develop travel time models at the same time or before the first technical realizations is one objective of this proposal.

研究环境：连同每个存储位置的成本，吞吐量和存储容量注​​意事项是计划和选择存储系统的重要要求。在新存储系统的早期概念化，设计和规划阶段中，旅行时间和吞吐量很有帮助，在这些绩效参数中必须比较不同的系统。似乎有可能通过模块化捕获和结合存储系统的基本功能来确定存储系统的吞吐量和旅行时间的方法 - 手提袋的处理，手提袋在三维空间中的移动，存储和恢复手提袋 - 以及这些功能之间的关系。除了运动的确定时间成分外，还必须考虑由存储系统中商品分布和等待时间在不同基本功能之间的过渡时产生的随机组件。假设该研究项目的工作假设是找到一种从有效的形态框中映射所有现有存储系统的方法，以得出所有可能的可能的存储系统和配置。此外，应进行所有派生系统的分析模型，以计算预定义的系统参数（吞吐量，旅行时间等），并可以得出对存储系统中关系的新的，可量化的理解。模型和方法的模块化提供了通过相应的方法得出新的存储系统类型的可能性。方法：为此，不同的工作包包括形态框的创建以及开发自动旅行时间模型推导方法。为了验证旅行时间和自动方法，还将构建模拟模型。原创性水平：在过去60年中，材料处理提供商反复开发了新的存储系统，科学随后开发了确定旅行时间和吞吐量的相应分析方法。在接下来的几年中，这些被纳入了易于访问的行业准则。一项批判性分析将发现，科学进步是由技术发展驱动的，并且在为现有系统提供分析建模方面落后。表明，可以同时或在第一个技术实现之前开发旅行时间模型是该提案的一个目标。