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impact analysis

It’s about Interchangeability and Traceability

Oleg Shilovitsky discusses the complexities of revising Bill of Material (BOM) documents related to assembly changes. He emphasizes using the FFF criteria for assessing interchangeability and traceability, advocating for issuing new part numbers when necessary. Collaborative decision-making involving various engineering and supply chain perspectives is crucial for accurate re-identification processes.

CM2: the cross-platform standard for impact analysis!

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.

We need a cross-platform interface for impact analysis!

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.

Re-Identification

The article emphasizes the significance of re-identification in change impact analysis. It defines re-identification, highlights the importance of employing a decision tree to determine whether to keep using an item or create a new one, and outlines the potential consequences of neglecting this process, including increased costs and operational issues.

Impact Analysis

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.