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首页> 外文会议>Charging amp; infrastructure symposium 2018 >A Lean Management Approach to Improve Battery Development
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A Lean Management Approach to Improve Battery Development

机译：精益管理方法以改善电池开发

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摘要

The development of traction batteries is an example for complex engineering projects. New technical and organizational issues often confront companies in this young field as still little experience is available. Compared to the conventional automotive industry which can be considered already complex enough, even more effective and efficient approaches are required to address customer demands in this emerging field to remain competitively. Especially in distributed development environments with globally networked product development-, validation- and production systems it is a challenge to be effective and efficient in daily business. That's why it is of prime importance to design modern development methods and tools without administrative hurdles based on systems engineering. The previous study from last AABC's Poster Award winner has shown in an internal research project which risk potentials can arise during the development process of traction batteries. In addition to this prior publication, a lean management approach, which especially focuses on the requirements of small teams, is introduced in this article. Therefore, the existing research results of the process Failure-Mode and Effective Analysis (pFMEA) have been elaborated further in order to develop a practical solution. With an ABC-Analysis the top 33% of the biggest risk factors have been identified. In order to understand the relationships between the individual risk factors in more detail a Design Structure Matrix (DSM) and a system grid has been used to quantify the independencies. Recent studies prove that visible results can be achieved with even comparatively simple workflows and processes in association with existing MS Office and cloud solutions. The decisive factor, however, remains the human. Therefore, in a series of interviews and workshops user and system requirements have been identified and implemented into the advanced working environment. In order to prevent misunderstandings and to ensure an efficient roll-out of the lean working environment, training materials with a special focus on user-centric requirements were created. An assessment of the implemented working environment with a Quality Function Deployment (QFD) confirms the assumption, but it also shows further potentials for improvement. Further research will integrate advanced technologies such as artificial intelligence and machine learning. The aim of this new advanced working environment is to automate knowledge management and to improve consistent data provision throughout the whole battery development process.
机译：牵引电池的开发是复杂工程项目的一个示例。由于尚缺乏经验，新技术和组织问题经常在这个年轻领域的公司面临。与可以被认为已经足够复杂的传统汽车行业相比，需要更有效的方法来满足这一新兴领域的客户需求，以保持竞争力。尤其是在具有全球联网的产品开发，验证和生产系统的分布式开发环境中，如何在日常业务中有效发挥作用是一项挑战。这就是为什么在不基于系统工程的管理障碍的情况下设计现代开发方法和工具至关重要的原因。上一届AABC海报奖获得者的先前研究在一项内部研究项目中表明，在牵引电池的开发过程中可能会产生潜在的风险。除了此先前的出版物之外，本文还介绍了一种精益管理方法，该方法特别关注小型团队的需求。因此，对过程故障模式和有效分析（pFMEA）的现有研究结果进行了详细阐述，以便开发出实用的解决方案。通过ABC分析，已确定最大的33％的最大风险因素。为了更详细地了解各个风险因素之间的关系，已使用设计结构矩阵（DSM）和系统网格来量化独立性。最近的研究证明，与现有的MS Office和云解决方案结合使用甚至相对简单的工作流和流程也可以实现可见的结果。但是，决定性因素仍然是人。因此，在一系列的访谈和研讨会中，已经确定了用户和系统的要求，并将其实施到高级工作环境中。为了防止误解并确保精益工作环境的有效推广，我们编写了特别注重以用户为中心的要求的培训材料。通过质量功能部署（QFD）对已实施的工作环境进行的评估证实了这一假设，但同时也显示了进一步的改进潜力。进一步的研究将整合人工智能和机器学习等先进技术。这种新的高级工作环境的目的是自动化知识管理并改善整个电池开发过程中一致的数据提供。

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  • 来源
  • 会议地点 Mainz(DE)
  • 作者

    Emanuel Loechl;

  • 作者单位

    Munich University of Applied Sciences, Department 03 of Mechanical, Automotive and Aeronautical Engineering, Dachauer Strasse 98b, Munich, D-80335 Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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