Modeling the influence of batch processes on the logistic objectives

同时进行批量生产的企业，无论是在批处理工作站还是在接下来的工作站上，都经常面临着生产能力时间长、在制品水平高、调度可靠性低的问题。到目前为止，还没有一个具有普遍有效性的模型来描述同时批量生产对物流目标的影响。因此，研究项目旨在开发这样的模型：物流作业曲线应根据批次大小和批次类型等参数，将物流目标、产出率和通过时间显示为平均在制品的函数。此外，还应调查和模拟分批对调度可靠性的影响，通过演绎-实验模型设计来达到总体研究目标。根据逻辑操作曲线，必须借助近似曲线来描述和模拟理想的生产过程。应通过引入经验参数来提高模拟运行曲线的精度。采用系统的试验设计，通过将模拟值与计算值进行比较来验证近似方程的有效性。

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.