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.
This article discusses the importance of timing and planning in change management (CM) through the lens of the CM Baseline. It emphasizes the creation of an Implementation Plan based on the Impact Matrix and change dependencies, highlighting the need for accuracy and adaptability in both traditional and Agile project management methodologies.
This article continues the CM Baseline series by discussing ‘Change Dependencies,’ the third component. It outlines the types of dependencies—logical, preferential, and resource—that affect the sequence of implementing changes. Understanding these dependencies aids project management by providing a clear roadmap for navigating the implementation phase and optimizing change processes.
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.