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
• 负责人: Professor Dr.-Ing. Kai Furmans
• 金额: --
• 依托单位: Institut für Fördertechnik und Logistiksysteme (IFL)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/394845127?language=en
• 关键词: Performance; analysis; capacity; planning; stochastic

The research project described in the renewal proposal is intended to investigate the influence of different cut-off service level definitions on capacity planning, in particular on workforce requirement planning and shift scheduling. These service level definitions are commonly used in industry. They define a cut-off time and a deadline by which all orders received by the cut-off time have to be completely processed. The structural differences in the definition of a cut-off service level compared to traditional service levels prevents the transfer of insights with regard to optimal capacities. Therefore, new methods for capacity planning have to be developed. The overall objective is therefore to identify and explain the influences of system parameters, e.g. the processing capacity available, on the achievable cut-off service level. This enables insights into the effects of cut-off service levels on workforce requirements and shift scheduling. For this purpose, performance analysis methods for stochastic, time-dependent, single-stage and multi-stage systems are to be developed. Discrete-time queueing networks will be used for the performance analysis. For appropriate special cases, structural insights are to be derived analytically. They are derived for deterministic surrogate models and single-period stochastic models. We develop new approaches for workforce requirement planning and shift scheduling by using a cut-off service level. The structural findings gained before will serve as bounds in the solution approaches. The single stage results will then be extended to multi-level systems, based on the results of the current project.

续签建议中描述的研究项目旨在调查不同截止服务水平定义对容量计划的影响，尤其是对劳动力需求计划和转移计划的影响。这些服务级别的定义通常在行业中使用。他们定义了一个截止时间和截止日期，必须完全处理截止时间的所有订单。与传统服务水平相比，截止服务水平的定义的结构差异阻止了有关最佳能力的见解。因此，必须制定新的能力计划方法。因此，总体目标是识别和解释系统参数的影响，例如在可实现的截止服务水平上可用的处理能力。这使您可以深入了解截止服务水平对劳动力需求和移动计划的影响。为此，将开发用于随机，时间依赖，单阶段和多阶段系统的性能分析方法。离散时间排队网络将用于性能分析。对于适当的特殊情况，将通过分析得出结构性见解。它们是用于确定性替代模型和单期随机模型的得出的。我们通过使用截止服务水平开发了劳动力需求计划的新方法和移动计划。以前获得的结构发现将作为解决方案方法的界限。然后，基于当前项目的结果，单阶段的结果将扩展到多层系统。