Generation of analytic throughput models for storage systems

研究背景：在规划和选择存储系统时，除了考虑每个存储位置的成本外，还要考虑吞吐量和存储容量。在新存储系统的早期概念化、设计和规划阶段，传输时间和吞吐量是有帮助的，因为必须根据这些性能参数对不同的系统进行比较。似乎有可能通过模块化地捕获和组合存储系统的基本功能- -处理手提袋、手提袋在三维空间中的移动、手提袋的存储和恢复- -以及这些功能之间的关系，得出确定存储系统的吞吐量和旅行时间的方法。除了运动的确定性时间分量外，还必须考虑存储系统中货物分配和不同基本功能之间转换的等待时间所产生的随机分量。本研究项目的工作假设是找到一种方法，从一个有效的形态学盒中映射所有现有的存储系统，以得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派生新的存储系统类型及其相应方法的可能性。方法：为此目的，不同的工作包包括形态盒的创建和自动旅行时间模型派生方法的开发。为了验证行程时间和自动方法，还将建立仿真模型。原创性水平：在过去的60年里，物料搬运供应商不断开发新的存储系统，科学随后发展出相应的分析方法来确定运输时间和吞吐量。在接下来的几年里，这些被纳入了易于理解的行业指导方针。一个批判性的分析将会发现，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已经落后了。这一建议的目标之一是表明，在第一次技术实现之前或同时开发旅行时间模型是可能的。

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.