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.
In a recent interview with Jennifer Moore, I discussed various aspects of Enterprise Configuration Management (CM), including the importance of CM2, managing changes effectively, and documenting processes. My CM journey began at Philips inspired by a foundational book. Moore encouraged me to write about CM for startups, which I’m currently developing.
Rob McAveney, Aras CTO, discussed the transformative impact of AI and machine learning on Impact Analysis at the Aras Digital 2020 event. His insights emphasize using these technologies to enhance decision-making in change management by identifying patterns in impact matrices, ultimately improving quality, reducing rework, and minimizing delays.
The transition to a Model Based Enterprise (MBE) offers benefits for impact analysis and decision-making. However, challenges arise in identifying ownership and efficiently planning for changes within modeled information. To enhance usability and maintainability, it is crucial to clearly define dataset boundaries and facilitate decoupling of various elements to ensure effective planning and execution of tasks.
Joe Barkai’s article “How Many ECOs are Preventable?” discusses the negative impact of Engineering Change Orders (ECOs) on product development, emphasizing that they are often corrective actions stemming from poor requirements, design, or manufacturing. Companies should focus on minimizing ECOs while promoting positive changes that generate value and improve efficiency.
The article discusses CM2 as a comprehensive enterprise configuration management standard, contrasting it with other management frameworks like PLM. The author responds to Jos Voskuil’s views on impact analysis and highlights CM2’s broader scope and training requirements. It emphasizes the relevance of CM in various industries, advocating for its adoption and community engagement.
At the IpX ConX19 conference, Martin Haket and a co-author raised concerns about the need for cross-domain standards to enhance impact analysis, particularly between PLM and ERP systems. They argue that existing standards fail to address collaborative needs and advocate for a unified impact matrix to facilitate better decision-making in businesses across the supply chain.
The post emphasizes the importance of impact analysis in managing product changes, highlighting the complexities arising from hardware-software and hardware-hardware dependencies. It urges software vendors to create user-friendly tools that facilitate dynamic impact analysis while generating implementation plans. Effective solutions can leverage IoT and big data for improved decision-making in change management.