Development of a goal orientated failure search and solution algorithm in production phase based on complaint information from the use phase

基于使用阶段的投诉信息，开发生产阶段面向目标的故障搜索和解决算法

• 批准号: 418890943
• 负责人: Privatdozentin Dr.-Ing. Nadine Schlüter
• 金额: --
• 依托单位: Fachgebiet Produktsicherheit und Qualität
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/418890943?language=en
• 关键词: Development; goal; orientated; failure; search

The complexity of products and their manufacturing processes has increased considerably in recent years due to various factors, such as the request for individuality or innovation. However, this development does not only have advantages for the customer. Due to the extensive functions and components as well as the complex manufacturing processes, systems are far more vulnerable to failures. Often arise from these initial mistakes serious objections or even complaints. Along with this, enormous amounts of information are generated from the usage, which recover a great potential for evaluating the improvement of companies and products. Despite the potential of this amount of information from the usage phase, this remains largely unused by companies due to the additional expenses. This is partly because the current methods, such as the 8D report, are no longer sufficient or the scientific approaches to goal-oriented handling of this extensive information are not available. Based on a comprehensive literature analysis of a total of 1200 research projects it could be shown that the researched approaches insufficiently deal with the problem area or even ignored it and thus a need for research regarding the development of a targeted failure search and failure solution algorithm in production based on complaint information from the usage phase.The proposed research project [FusLa] aims to create the potential of extensive amount of information from the usage phase, especially of complaints, by the development of a targeted failure search and failure solution algorithm in the production based on complaint information from the usage phase. Through the development of an information exploring filter, first of all relevant information from the enormous amounts of information from the usage phase is to be extracted. Based on this information, a procedure is developed to assess the received com-plaints regarding their priority for the company in order to subsequently carry out a process-oriented failure locating. After localization of the failure, a method kit is developed, which pro-vides case-related solutions depending on the cause of the failure. The results are bundled in a goal-oriented failure-finding and failure solution algorithm that aims to make the complexity of today's complaint information more manageable for companies, to make complaint man-agement more attractive and to regain the trust of customers.

近年来，由于各种因素，例如对个性化或创新的要求，产品及其制造工艺的复杂性大大增加。然而，这种发展不仅对客户有利。由于广泛的功能和组件以及复杂的制造工艺，系统更容易发生故障。这些最初的错误往往会引起严重的反对甚至抱怨。沿着，从使用中产生了大量的信息，这些信息为评估公司和产品的改进提供了巨大的潜力。尽管使用阶段的信息量很大，但由于额外的费用，公司在很大程度上仍然没有使用。这部分是因为目前的方法，如8D报告，不再足够，或者没有科学的方法来以目标为导向处理这一广泛的信息。基于对1200个研究项目的综合文献分析，可以看出研究方法不足以处理问题领域，甚至忽略了它，因此需要研究基于使用阶段的投诉信息在生产中开发有针对性的故障搜索和故障解决算法。拟议的研究项目[FusLa]旨在通过基于使用阶段的投诉信息开发有针对性的故障搜索和故障解决方案算法，从使用阶段创造大量信息的潜力，特别是投诉。通过信息探索过滤器的开发，首先要从使用阶段的大量信息中提取相关信息。基于这些信息，开发了一个程序，以评估收到的投诉，他们的优先级为公司，以便随后进行面向过程的故障定位。在故障定位之后，开发了一个方法套件，该方法套件根据故障原因提供与案例相关的解决方案。这些结果被捆绑在一个以目标为导向的故障查找和故障解决方案算法中，该算法旨在使当今复杂的投诉信息更易于管理，使投诉人更具吸引力，并重新赢得客户的信任。