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Model Based Systems Engineering

Configuration Management connects the dots

How Configuration Management is the glue between Model-Based Systems Engineering, Product Line Engineering, and Agile teams.

The article discusses the critical role of Configuration Management (CM) in integrating Model-Based Systems Engineering (MBSE) and Product Line Engineering (PLE) within Agile teams. It emphasizes that CM is essential for managing product diversity and enabling collaboration, ultimately supporting the fast-paced evolution of engineering and enhancing customer satisfaction through better adaptability.

Models, Models, and more Models…

The I4.0 Committee at the IPX Congress is exploring how model-based approaches can impact configuration management. They have identified and mapped various model types to the V model for development. Feedback is requested on these definitions, which have evolved to include models designed to convey information to both humans and machines.

Connections tell the Story

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.

Understanding the Impact of Changes

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.

What is the configuration when the product has an AI?

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.