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.

同时批量生产的公司通常会在批处理工作站和工作站直接直接面临较长的吞吐时间，高WIP水平和较低的时间表可靠性的问题。到目前为止，还没有任何模型来描述同时批处理生产对具有一般有效性的物流目标的影响。因此，研究项目旨在开发此类模型：逻辑工作曲线应根据批处理大小和批处理类型的数量来显示逻辑目标输出率和吞吐时间作为平均WIP的函数。此外，应研究和调节批处理对时间表可靠性的影响。总体研究目标应通过演绎实验模型设计来实现。根据逻辑工作曲线，必须借助近似曲线来描述和建模理想的生产过程。建模工作曲线的准确性应通过包括经验参数来提高。近似方程的有效性应通过将模拟与应用系统实验设计的计算值进行比较来验证。