The blog that shapes the future of CM and unravels how to achieve process excellence through Enterprise Configuration Management.
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The debate around the “Part Proxy” concept, introduced by Prof. Dr. Jörg W. Fischer, highlights challenges in managing interchangeable parts across different plants in manufacturing. It emphasizes the need for proper identification and interchangeability criteria, advocating for distinct part numbers when constructions differ, while maintaining a system for equivalent items to ensure clarity in manufacturing…
This article from the How Do YOU CM2? series emphasizes the importance of capturing design rationale in decision-making for effective knowledge management. It highlights how failing to document the reasoning behind design choices leads to inefficiencies, particularly for new hires. AI can assist in documenting these rationales seamlessly during the engineering process, improving future decision-making.
This article compares change control processes across aerospace, automotive, and medical device industries, highlighting their distinct approaches shaped by different failure modes. It emphasizes the need for cross-industry learning to adapt traditional frameworks to modern challenges, particularly in handling continuous software updates. A unified CM2 framework is proposed for enhanced governance.
This article discusses the potential negative impact of AI on the skill development of junior configuration managers in the realm of configuration management. It highlights the risks of reliance on automation, including skill degradation and reduced critical thinking. Proposed solutions include manual practice, graduated automation, and competency gates to preserve human expertise alongside AI adoption.
This article discusses the integration of AI in configuration management, highlighting the challenges posed by probabilistic decision-making compared to deterministic systems. It emphasizes the need for governance frameworks to validate AI outputs against compliance requirements and establish confidence thresholds for manual review in decision-making processes.
This article discusses challenges of AI-assisted product changes, particularly context degradation in large language models as conversations progress. It introduces scaffolding, a structured approach to maintain contextual integrity in change management. By emphasizing task decomposition and context engineering, organizations can improve AI performance and enhance governance in engineering workflows.
This article discusses the integration of AI in configuration management, highlighting the governance gaps between probabilistic AI outputs and established deterministic standards. While AI-driven tools improve efficiency and data accuracy, concerns arise about the erosion of human expertise and the need for frameworks to validate AI-generated analyses, especially in regulated industries.
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[…] including serviceability, upgradeability, and repair, with all lifecycle stakeholders at the table. Re-identification is not about following a decision…
[…] failed procedurally in that story. The failure is in what the checks never covered, which is why Form, Fit,…
[…] that this idea is starting to live its own life. Martijn Dullaart published an excellent article, The Question Your…
[…] machine, all what and no why. That is unfair to the discipline, and it weakens the analysis. Configuration management…
[…] definition is Form, Fit, and Function. That view is incomplete. In my book, I argue that true interchangeability requires…