确定性高变量需求下考虑人机工程学的可用资源规划

M. Bonini, J. Schuhmacher, Augusto Urru, Jan Philipp Wezel, V. Hummel, W. Echelmeyer
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引用次数: 0

摘要

本文提出了一种基于已知或确定性预测但高度可变的需求的混合短期和长期可用资源规划方法。该方法考虑了诸如性能和资源可用性、与人体工程学相关的KPI以及最终处理成本等定量度量,以便作为中小企业运营经理的实用规划工具。具体来说,该方法可以利用现有灵活自动化技术(例如agv或拣选机器人)的人体工程学优势,同时确保这些技术不会成为容量瓶颈。在介绍了方法和必要的假设之后,主要是关于计算数据的可用性,我们报告了一个案例研究,该案例研究量化了吞吐量可变性对不同流程选择的影响,其中使用了不同的资源团队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Planning of Available Resources Considering Ergonomics Under Deterministic Highly Variable Demand
In this paper, a method for hybrid short- to long-term planning of available resources for operations is presented, which is based on a known or deterministically forecasted but highly variable demand. The method considers quantitative measures such as the performance and the availability of resources, ergonomically relevant KPI and ultimately process costs in order to serve as a pragmatic planning tool for operations managers in SMEs. Specifically, the method enables exploiting the ergonomic advantages of available flexible automation technology (e.g. AGVs or picking robots), while assuring that these do not represent a capacity bottleneck. After presenting the method along with the necessary assumptions, mainly concerning the availability of data for the calculations, we report a case study that quantifies the impact of throughput variability on the selection of different process alternatives, where different teams of resources are used.
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