This article discusses enhancing the CM Baseline’s knowledge graph by integrating product and event data, creating a comprehensive ‘product 360.’ It emphasizes the significance of Event Knowledge Graphs to uncover insights overlooked by traditional analysis. By modeling relationships between events and states, it proposes improved predictive capabilities and behavior understanding in product development.
The article introduces the CM+Agile series and explores how Configuration Management (CM) enhances agility in the automotive sector, particularly among Western OEMs competing against Chinese firms. It emphasizes the need for improved software competencies, communication, and self-organizing teams, while also advocating for efficient change processes and robust documentation practices within an agile framework.
The Essential Guide to Part Re-Identification is now available on Amazon and Apple Book Store. It addresses challenges in Interchangeability and Traceability, guiding readers through effective part re-identification decisions. The book includes practical exercises and insights for optimizing processes and reducing risks, promoting long-term success in product management.
Announcement of the release of my first book, “The Essential Guide to Part Re-Identification,” focusing on Interchangeability and Traceability. The launch is on June 20, 2023, at 3 PM CEST / 9 AM EDT, available in ebook and paperback formats. More details will follow.
The Model-based Ecosystem committee of the IPX Congress seeks participants for a survey examining the impact of model-based approaches on Configuration Management (CM). The survey, consisting of 11 questions, aims to gather insights on risks and opportunities related to CM processes. Results will be shared on LinkedIn and the Future of CM Blog.
OpenAI’s release of GPT-4 enhances Large Language Models (LLMs) capabilities for impact analysis in configuration management. By leveraging LLMs, knowledge graphs can be utilized to reveal implicit relationships and support decision-making during changes. Upcoming tools, like NeoChat, hint at significant advancements in data exploration for engineers and managers.
Prof. Dr. Jörg W. Fischer sparked a debate on the relevance of Form-Fit-Function (FFF), suggesting it is gradually losing significance. FFF’s misuse and complexity in modern systems necessitate a cross-functional approach for effective impact assessments. While FFF remains valuable, its application must adapt to evolving requirements and increased complexity in product design.
This article discusses two mental models—opportunity cost and the Lollapalooza effect—in the context of Configuration Management. It emphasizes the importance of impact assessments when making changes, highlighting how opportunity costs can significantly influence decision-making. Additionally, it addresses the potential consequences of organizational culture on both negative and positive outcomes related to change implementation.
This article introduces a series on mental models for preventing ethical fading in Configuration Management. It focuses on the compounding effect of changes, highlighting how decisions can have cumulative positive or negative impacts over time. Understanding dependencies and risks is essential for facilitating beneficial outcomes and avoiding detrimental compounding effects.
The CM Baseline is essential in the CM2 Model, providing accurate configuration data and insights into changes over time. It enhances impact analysis across various domains, aids scenario-based assessments, determines optimal change introduction dates, supports what-if analyses for disturbances, and examines commonality from multiple perspectives, ultimately improving decision-making and minimizing risks.