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.

研究背景：与每个存储位置的成本一起，吞吐量和存储容量是规划和选择存储系统时的重要要求。在新存储系统的早期概念化、设计和规划阶段，必须根据这些性能参数比较不同的系统，因此行程时间和吞吐量非常有用。似乎可以通过模块化地捕获和组合存储系统的基本功能--装运箱的处理、装运箱在三维空间中的移动、装运箱的存储和恢复--以及这些功能之间的关系来推导用于确定存储系统的吞吐量和行进时间的方法。除了移动的确定性时间分量外，还必须考虑由存储系统中的货物分布和不同基本功能之间的转换的等待时间引起的随机分量。假设此研究项目的工作假设是找到一种方法来从有效的形态框映射所有当前存在的存储系统，以推导出所有可能的存储系统和配置。此外，应该可以为所有派生系统生成分析模型，以计算预定义的系统参数(吞吐量、行程时间等)，并对存储系统中的关系得出新的、可量化的理解。模型和方法的模块化提供了派生新的存储系统类型及其相应方法的可能性。方法：为此，不同的工作包包括创建一个形态盒和开发一种自动旅行时间模型推导的方法。为了验证行程时间和自动方法的有效性，还将建立仿真模型。原创性水平：在过去的60年里，材料处理供应商不断开发新的存储系统，为此，科学随后开发了相应的分析方法，以确定旅行时间和吞吐量。在接下来的几年里，这些都被纳入了容易获得的行业指南中。批判性分析将发现，科学进步是由技术发展推动的，在为现有系统提供分析建模方面落后。表明，有可能在同一时间或在第一次技术实现之前开发旅行时间模型，这是该提案的一个目标。