The article discusses managing changes in the CM Baseline series using analogies related to flights. It introduces the Impact Matrix as a critical component that captures the intentions behind changes, detailing affected objects and relationships. The post emphasizes the significance of effective visualization and analysis for collaborative decision-making in change management.
The post discusses the challenges of managing changes and dependencies in configurations, introducing the CM2 Baseline as a solution. This baseline integrates communication through a Business Object Graph, highlighting the importance of connections for impact analysis. It emphasizes real-time data sharing while maintaining the integrity of expert domain tools.
Just before the end of 2021 Jos Voskuil a.k.a. the Virtual Dutchman organized a discussion about the Future of Configuration Management with Lisa Fenwick from CMstat, Maxime Gravel from Moog and myself.
The post discusses the challenges of managing complex product development without effective systems, comparing it to a lack of air traffic control leading to crashes. It introduces CM2’s Baseline solution for managing planned changes and their impacts but notes integration difficulties across different systems. Effective change management and dependency tracking are essential for timely product development.
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.
On September 9, 2021, I conducted a full day of lectures on Configuration Management at Avans University, attracting over 30 students. The day included the creation of Word Clouds to gauge insights, discussions on key topics, and engaging exercises with LEGO bricks. The initiative has reached over 100 students, promoting awareness in Configuration Management.
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.
This article examines the complexities of managing product configurations in AI integration, focusing on how evolving AI capabilities, training datasets, and regulatory changes like Export Control influence this process. It raises critical questions about accountability, impact analysis, and certification requirements when AI alters a product’s functionality or classification.
In a two-part podcast, Arnaud Hubaux from ASML and Max Gravel from IpX explore the intersection of export control and machine learning. They discuss complexities arising from datasets, algorithms, and federated learning, emphasizing the need for legal expertise in navigating export regulations related to AI technologies and their evolving configurations.
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.