Modeling the influence of batch processes on the logistic objectives

模拟批处理对物流目标的影响

• 批准号: 339668105
• 负责人: Professor Dr.-Ing. Hermann Lödding
• 金额: --
• 依托单位: Institut für Produktionsmanagement und -technik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/339668105?language=en
• 关键词: Modeling; influence; batch; processes; logistic

Companies with a simultaneous batch production often face the problem of long throughput times, high WIP levels and low schedule reliability both at the batch workstation and at the directly following workstations. Up to now no model exists that describes the impact of a simultaneous batch production on the logistic objectives with a general validity. The research project therefore aims at the development of such models: logistic operating curves shall display the logistic objectives output rate and throughput time as a function of the mean WIP depending on parameters like batch size and number of batch types. Furthermore the influence of batching on the schedule reliability shall be investigated and modelled.The overall research goal is to be reached by a deductive-experimental model design. In accordance to the logistic operating curves an ideal production process has to be described and modelled with the help of approximation curves. The accuracy of the modelled operating curves shall be improved by including empiric parameters.The validity of approximation equations is to be verified by the comparison of simulated with calculated values applying a systematic experimental design.

同时进行批量生产的公司经常面临批量工作站和直接后续工作站的生产时间长、在制品水平高和进度可靠性低的问题。到目前为止，还没有模型能够普遍有效地描述同步批量生产对物流目标的影响。因此，该研究项目旨在开发此类模型：物流操作曲线应显示物流目标输出率和吞吐量时间，作为平均在制品的函数，具体取决于批次大小和批次类型数量等参数。此外，还应研究批次对进度可靠性的影响并对其进行建模。总体研究目标是通过演绎实验模型设计来实现的。根据物流操作曲线，必须借助近似曲线来描述和建模理想的生产过程。模型运行曲线的准确性应通过包含经验参数来提高。近似方程的有效性应通过应用系统实验设计的模拟值与计算值的比较来验证。