Model-Based Optimization of Nonconformance Management in Manufacturing Systems

该研究项目的总体目标是开发一个仿真模型，该模型可以为故障管理过程有效和高效地集成到生产过程中提供建议。本研究建议遵循的假设，这些行动建议可以从系统动态模拟模型。第二阶段的核心目标是在初期应用的基础上，细化与生产计划和控制相关的仿真模型。在第一步中，必须确定生产计划和控制的相关接口和影响变量。在此基础上，正在制定一个概念，以扩展和连接第一个应用阶段的生产子模型。更具体地，该模型将能够显示具有任意数量的过程步骤的过程链。扩展的仿真模型提供了必要的细节水平，以通过识别的接口连接到生产计划和控制。通过对一个真实的生产链的仿真分析，提出了优化故障管理的建议，即企业故障管理策略与生产计划和控制之间更好的网络化措施。这是通过一步一步地考虑个别公司的情况来完成的。公司可以直接从研究结果中获益，具体方法是根据公司的具体情况，将定义的参数集调整到其故障管理的个人配置中，并使用新的模型方法详细显示其生产过程。在此之后，可以创建一个仿真模型，该模型可以导出用于优化使用故障管理的各个策略。在这种情况下，模拟中涉及的工作量主要在于参数值的优化。

The overall objective of the research project is the development of a simulation model that derives recommendations for an effective and efficient integration of the failure management process into the production process. The present research proposal follows the hypothesis that these recommendations for action can be gained from a system-dynamic simulation model. Based on the results of the initial application period, the detailing of the simulation model, which ist o be connected to the production planning and controlling, is the core objective of the second period. In the first step the relevant interfaces and influencing variables of production planning and control must be identified. Based on this, a concept is being developed to expand and connect the production sub-model of the first application phase. More specifically, the model is to be enabled to display a process chain with any number of process steps. The expanded simulation model provides the necessary level of detail to be connected to production planning and control via the identified interfaces. With the aid of simulation analyzes of a real production chain, recommendations for the optimization of failure management are derived i.e. measures for better networking between the failure management strategy of a company and its production planning and control. This is done by a step by step consideration of individual company conditions. Companies can profit directly from the research results by carrying out a company-specific adaptation of the defined parameter set to their individual configuration of failure management and also by using the new model approach for displaying their production process in detail. Following this, a simulation model can be created that enables the derivation of individual strategies for the optimized use of failure management. In this case, the amount of work involved in the simulation consists primarily in the optimization of the parameter values.