This blog post discusses the impact of Model-Based Initiatives on Configuration Management (CM), highlighting challenges faced during the transition from paper to digital processes. It explores the historical evolution of CM, the need for adaptability in changing environments, and the importance of data management and collaboration in ensuring effective change processes within organizations.
Changing a part’s traceability level, like transitioning from non-serialized to serialized, may necessitate a new part number. This depends on the physical label’s requirements, which might alter the part’s form but generally not its fit. However, the transition impacts the part’s functionality, ensuring better traceability throughout its lifecycle.
The panel discussion addressed Configuration Management and Variant Configuration Management, focusing on Over-the-Air updates. These updates offer convenience but can lead to serious issues, as exemplified by Tesla’s software updates affecting vehicle performance. Ensuring secure, authenticated updates and managing diverse product configurations are critical to mitigating risks associated with these updates.
The article discusses the ongoing debate about parts and revisions in PLM tools, stressing that parts should not have revisions while datasets associated with them should. It advocates for linking datasets and parts to enhance change agility, suggesting a model where parts lack revisions but datasets possess them for efficient management and impact analysis in engineering changes.
The article discusses the importance of configuration management (CM) for startups, which often overlook it. It outlines various startup phases, emphasizing when to implement CM practices to ensure growth and scalability. The author encourages startups to view CM as an enabler rather than a burden, highlighting the need for effective processes and documentation.
Oleg Shilovitsky discusses the complexities of revising Bill of Material (BOM) documents related to assembly changes. He emphasizes using the FFF criteria for assessing interchangeability and traceability, advocating for issuing new part numbers when necessary. Collaborative decision-making involving various engineering and supply chain perspectives is crucial for accurate re-identification processes.
The article emphasizes the significance of re-identification in change impact analysis. It defines re-identification, highlights the importance of employing a decision tree to determine whether to keep using an item or create a new one, and outlines the potential consequences of neglecting this process, including increased costs and operational issues.