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着在批量工作站和直接的后续工作站的吞吐量时间长、生产率高和进度可靠性低的问题。到目前为止，还没有一个模型能够描述同时批量生产对物流目标的影响。因此，该研究项目旨在开发这样的模型：物流操作曲线应显示物流目标输出率和吞吐时间作为平均值的函数，取决于批量大小和批量类型数量等参数。此外，还应研究和模拟可持续发展对进度可靠性的影响，通过演绎-实验模型设计达到总体研究目标。根据逻辑操作曲线，必须借助于近似曲线来描述和建模理想的生产过程。应通过包括经验参数来提高模拟操作曲线的准确性。应通过比较模拟值与采用系统实验设计的计算值来验证近似方程的有效性。