Development of a model for the quantitative description and calculation of logistic cause effect relationships in different assembly organization forms

工业企业当前面临着竞争压力大的环境。生产系统的后勤性能，特别是时间表的可靠性，仍然是一个主要的竞争因素，以便在市场上取得稳固的地位。许多公司在满足其在物流绩效方面的目标方面仍面临问题。原因在于复杂多样的相互依存关系，因此企业无法准确评估物流措施的效果。因此，企业需要足够的工具来定量评估物流措施的效果，以选择最优的物流措施。通过使用所谓的物流模型来描述物流相互依赖关系，为设计和控制物流过程提供了一种透明和用户友好的方式。系统地构造了影响因素，并用定量的数学方程描述了它们对进度可靠性等关键绩效指标的影响。通过应用这些模型，用户能够得出改善其公司关键业绩指标的最优措施。此外，通过使用物流模型获得的知识可以应用于改进物流流程的设计和控制。在物流模型的基础上，可以在实施之前评估措施对计划可靠性等关键绩效指标的影响，特别是装配过程作为供应链的最后一个要素，对整个公司的物流绩效具有非常重要的意义。供应过程中的许多过程中断对装配过程的物流性能有很大影响。除了装配工艺与供应链物流绩效的相关性外，装配工艺在单位成本中占有很高的比例。因此，应用研究项目的目标是建立一个定量的影响模型来描述不同组织形式的装配区域物流关键绩效指标之间的因果关系。模型的输入是装配区域的组织形式、装配部件的数量或上游工艺的延迟分布。应用该模型，公司现在能够计算物流措施(例如，提高供应过程的准点率)对关键绩效指标的影响，如计划可靠性或装配区的在制品。

Industrial enterprises are currently facing an environment of high competitive pressure. The logistical performance and in particular the schedule reliability of a production system is still a major competitive factor in order to achieve a solid position in the market. Many companies still face problems to meet their requirements with regard to their targets in logistical performance. The reasons lie within the complex and manifold interdependencies, so that effects of logistical measures cannot be evaluated by companies precisely. Therefore, companies need adequate tools to evaluate the effect of logistical measures quantitatively for selecting optimal logistic measures.Describing logistical interdependencies by the use of so called logistical models provide a transparent and user-friendly way for designing and controlling logistical processes. Influencing factors are systematically structured and their impact on key performance indicators such as schedule reliability is described in terms of quantitative, mathematical equations. By applying these models the user is able to derive the optimal measure for improving key performance indicators of his company. Furthermore, the acquired knowledge by using logistical models can be applied to improve designing and controlling logistical processes. Based on logistical models it is possible to estimate the effect of measures on key performance indicators like the schedule reliability before implementing them.Especially assembly processes as the last element of supply chains are of high importance regarding the logistical performance of a whole company. Many process disruptions in the supply processes influence the logistical performance of the assembly process significantly. Beside the relevance of assembly processes for the logistical performance of the supply chain assembly processes have a high percentage share of unit costs. Hence, effective assembly processes have great effects on the profitability of companies.Therefore, the target of the applied research project is to develop a quantitative impact model to describe the cause effect relationship between logistical key performance indicators in assembly areas with different organisation forms. The input for the model is e.g. the organisation form of the assembly area, the amount of assembly components, or the lateness distribution of the upstream processes. Applying that model companies are now able to calculate the effect of logistical measures (e.g. an improved punctuality of supply processes) on key performance indicators such as the schedule reliability or the WIP of the assembly area.