Methodology for the analysis and design of an algorithm for a more robust traceability and improved confidence of action in the organizational structures of the value chain of companies, using customer complaints from use phase [AlGeWert]

利用使用阶段的客户投诉来分析和设计算法，以实现更强大的可追溯性并提高公司价值链组织结构中的行动信心 [AlGeWert]

• 批准号: 465978024
• 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
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/465978024?language=en
• 关键词: Methodology; analysis; design; algorithm; more

The robust design of traceability and the confidence of action in the organizational structures of the company's production chain is an enormous challenge when customer complaints arise from the use phase. On the one hand, this can be explained by the recognizable increasing complexity in liability matters (e.g. product liability cases). On the other hand, it can be stated, that the linking of requirements of complex products to the system elements of the complex organizational system of companies over the entire value chain are unknown or intransparent. Consequently, the degree of fulfillment of requirements for certain products across the entire value chain in the organization of a company is not verifiable. Moreover, it cannot be immediately traced which processes, roles, information systems, quality assurance documentation, and measuring and testing equipment are affected with regard to a liability issue. This means, it exists insufficient traceability, which has a massive impact on the reliability of companies' actions and reduces the effective handling of liability matters. To counteract this problem, we aim a methodical analysis and design of an algorithm [AlGeW-ert], which can increase traceability and confidence action in the organizational structures of the value chain of companies by using liability-relevant complaints of the customer from the usage phase. Therefore, we use already gained knowledge from the DFG projects "KAUSAL", "ReMaiN" and "FusLa". The fact that such a methodological approach or algorithm is not cur-rently available is proven by an analysis of 731 national and international funded research projects from 2004 to 2019.The research work starts with an unambiguous declaration of customer complaints from the use phase as a liability matter. To implement this, various European laws, norms, and standards will be analyzed concerning liability-relevant requirements and error definitions. Furthermore, the complex organizational structures in the value chain will be made transparent with an organizational system model. The next step is to link liability issues with the organizational system model to increase traceability and action confidence. For this purpose, identified liability issues regarding complaints from the usage phase are assigned to the system elements of the organizational system. The findings and rules generated in the individual steps are combined into an algorithm and methodically tested and validated with a testing tool. The research project is intended to make the handling of liability matters more effective for companies, to create certainty of action, and thus to avert high penalties.

当客户投诉出现在使用阶段时，可追溯性的稳健设计和公司生产链组织结构中的行动信心是一个巨大的挑战。一方面，这可以解释为责任问题（例如产品责任案件）日益复杂。另一方面，可以说，复杂产品的要求与整个价值链上公司复杂组织系统的系统要素之间的联系是未知的或不透明的。因此，在公司组织的整个价值链中，对某些产品的要求的满足程度是无法核实的。此外，无法立即追踪哪些流程、角色、信息系统、质量保证文件以及测量和测试设备在责任问题方面受到影响。这意味着，它存在着不充分的可追溯性，这对公司行为的可靠性产生了巨大影响，并降低了责任事项的有效处理。为了解决这个问题，我们的目标是一个有条不紊的分析和设计的算法[AlGeW-ert]，它可以增加可追溯性和信心行动的组织结构的价值链的公司，通过使用责任相关的投诉的客户从使用阶段。因此，我们使用已经从DFG项目“KAUSAL”，“ReMaiN”和“FusLa”中获得的知识。通过对2004年至2019年731个国家和国际资助的研究项目的分析，证明了这种方法论方法或算法目前不可用的事实。研究工作从明确声明使用阶段的客户投诉作为责任事项开始。为了实现这一点，各种欧洲法律，规范和标准将分析有关责任相关的要求和错误定义。此外，价值链中复杂的组织结构将通过组织系统模型变得透明。下一步是将责任问题与组织系统模型联系起来，以增加可追溯性和行动信心。为此目的，已确定的与使用阶段的投诉有关的责任问题被分配给组织系统的系统要素。在各个步骤中生成的结果和规则被组合成一个算法，并使用测试工具进行系统的测试和验证。 该研究项目的目的是使公司更有效地处理责任事项，建立行动的确定性，从而避免高额处罚。