Model-Based Optimization of Nonconformance Management in Manufacturing Systems

制造系统中基于模型的不合格管理优化

基本信息

项目摘要

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.
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。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Towards accurate failure prediction in manual assembly by establishing a System Dynamics model
通过建立系统动力学模型实现手动装配中的准确故障预测
  • DOI:
    10.1016/j.procir.2022.09.090
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Günther;Beckschulte
  • 通讯作者:
    Beckschulte
Managing Complex Interactions between Production and Failure Management: a System-theoretical Model
管理生产和故障管理之间的复杂交互:系统理论模型
Quality Improvement Through Data Analysis – Qualification of Failure Management by Standardized Failure Recording in Manual Assembly
通过数据分析提高质量 â 通过手动装配中的标准化故障记录进行故障管理的资格
  • DOI:
    10.1007/978-3-030-78424-9_63
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Beckschulte;Günther;Kiesel;Schmitt R. H.
  • 通讯作者:
    Schmitt R. H.
Conceptual modelling of the Failure management process in the manufacturing industry
制造业故障管理流程的概念建模
A Failure Handling Process Model for Failure Management in Manual Assembly
手动装配故障管理的故障处理过程模型
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Professor Dr.-Ing. Robert Schmitt其他文献

Professor Dr.-Ing. Robert Schmitt的其他文献

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{{ truncateString('Professor Dr.-Ing. Robert Schmitt', 18)}}的其他基金

Transfer of measurement uncertainties to reduce the effort required for proof of suitability (MessAgE)
转移测量不确定性以减少证明适用性所需的工作 (MessAgE)
  • 批准号:
    427402095
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Development of a robotic measuring system for the equivalence analysis of surface materials by using sensor fusion
利用传感器融合开发用于表面材料等效性分析的机器人测量系统
  • 批准号:
    405963282
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Automated extraction of customer needs from customer reviews for the enhancement of the innovative capacity
从客户评价中自动提取客户需求,提升创新能力
  • 批准号:
    330451960
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants
MUKOM - Cost-efficient determination of the measurement uncertainty of complex measurement processes
MUKOM - 经济高效地确定复杂测量过程的测量不确定度
  • 批准号:
    388678238
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Further development and implementation of a model-based, integratable multi-sensor system for automatic and process parallel determination and compensation of the volumetric error at the functional point (AutoKomp II)
进一步开发和实施基于模型的可集成多传感器系统,用于自动和过程并行确定和补偿功能点的体积误差(AutoKomp II)
  • 批准号:
    298597595
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Measurement procedure based on spectrally resolved light and photogrammetric methods for dynamic 6D coordinate measurements in large volumes (Lambda-GPS)
基于光谱分辨光和摄影测量方法的测量程序,用于大体积动态 6D 坐标测量 (Lambda-GPS)
  • 批准号:
    322750896
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Quality Intelligence (QI)
质量情报 (QI)
  • 批准号:
    279497483
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Development of a sensor for the extraction and analysis of undirected complaints in online-fora
开发用于提取和分析在线论坛中无针对性投诉的传感器
  • 批准号:
    280368616
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Renewal proposal to SCHM1856/58-1 within an agreement of DFG and CAPES in the context of the international BRAGECRIM Program Phase 3 "Brazilian German Collaborative Research Initiative on Manufacturing Technology" for the coordination of the BRAGECRIM Coo
在国际 BRAGECRIM 计划第 3 阶段“巴西德国制造技术合作研究计划”的背景下,根据 DFG 和 CAPES 的协议,向 SCHM1856/58-1 提出更新提案,以协调 BRAGECRIM Coo
  • 批准号:
    262375853
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Non-Destructive Impact Damage Detection on Carbon Fiber Reinforced PlasticsIDD-Metro within BRAGECRIM
BRAGECRIM 内碳纤维增强塑料 IDD-Metro 的非破坏性冲击损伤检测
  • 批准号:
    262376261
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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