Data collection framework for identifying and conducting root cause analysis of the causes of engineering deviations in product development

Unplanned deviations represent a significant challenge in agile product development, as existing methods predominantly focus on pre-planned engineering changes. This study introduces a data collection framework designed to systematically capture unplanned engineering deviations and their underlying causes within the context of agile systems generation engineering. The framework was implemented in a practical Live-Lab environment, where development data were collected and evaluated against identified requirements. The evaluation shows that the framework identifies engineering changes and deviations, facilitating detailed root cause analysis. The findings enhance understanding of deviation dynamics and support systematic analysis in engineering practice.

Subjects

Engineering Deviations

Data Collection Framework

SGE – System Generation Engineering

Engineering Changes

Live-Lab Case Study

DDC Class

620: Engineering

Funding(s)

Entwicklung eines ontologischen Modells der PGE und einer methodischen Unterstützung zur Reduktion von Variations- und Planungsabweichungen in der Blechkonstruktion

Options

Data collection framework for identifying and conducting root cause analysis of the causes of engineering deviations in product development