Systematic approach for the integration and planning of an efficient reliability assurance of product variants based on the Model of PGE – Product Generation Engineering

由于产品个性化需求的不断增长，产品变体的开发也在不断增加。因此，开发流程适用于变体开发，以找到公司特定的最佳变体数量，并考虑成本和效益。一方面，产品变体通常具有相同的特征，但也显示出产品设计或产品用途或目的的差异。这些差异对相应产品变体的失效行为具有不同的影响，这导致了可靠性和寿命保证方面的新挑战。由于在大多数情况下，不可能物理描述故障机制，可靠性保证是基于可靠性测试的经验寿命数据。在开发过程中，只能使用成本密集型原型，这就是为什么测试所有产品变体是不方便的。然而，可靠性也不能转移到其他变体，因为即使是很小的差异因此，共同研究项目的目标是通过在PGE模型的基础上系统分析相似性，在变型开发期间开发一种降低费用的可靠性保证程序。产品代开发。通过识别的相似性，可靠性信息应转移到产品变体。这是基于可靠性测试规划中使用先验知识的方法，这大大减少了测试工作量。可靠性信息的重复使用和进一步使用使得能够大大减少可靠性保证的工作。同时，对相似性的系统分析仍然保证了有效的可靠性保证。此外，新程序的目的是使人们能够在开发的早期阶段得出关于产品变体对可靠性保证所需努力的影响的结论。因此，可以确定产品变体所追求的效益相对于可靠性保证的预期支出是否合理。这种比较构成了产品变体优化的基础。

The development of product variants is constantly increasing due to the growing demand for product individualization. Development processes are therefore adapted to variant development in order to find the company-specific optimal number of variants with regard to costs and benefits. On the one hand, product variants often share characteristics, but also show differences in product design or product use or purpose. These differences have different effects on the failure behavior of the respective product variant, which leads to new challenges in the reliability and lifetime assurance. Since in most cases it is not possible to physically describe the failure mechanisms, reliability assurance is based on empirical life data from reliability tests. During development only cost-intensive prototypes can be used, which is why testing all product variants is not expedient. However, the reliability cannot be transferred to other variants either, since even small differences (such as greater load from other product use) can result in major changes in failure behavior.The objective of the common research project is therefore the development of a procedure for the expenditure-reduced reliability assurance during the variant development by the systematic analysis of similarities on basis of the model of the PGE - product generation development. With the identified similarities reliability information shall be transferred to product variants. This is based on approaches to use prior knowledge in reliability test planning, which reduces the testing effort significantly. The reuse and further use of the reliability information enables a highly reduced effort for reliability assurance. At the same time, the systematic analysis of the similarities still guarantees a valid reliability assurance.In addition, the new procedure is intended to enable conclusions to be drawn at an early stage of development about the effects of product variants on the effort required for reliability assurance. Thus it can be determined whether the benefit aimed at by the product variant can be justified in relation to the expected expenditure for reliability assurance. This comparison forms the basis for the optimization of the product variant.