Provenance

Statistical Process Control

Lineage source for understanding variation, feedback, measurement, and system improvement.

This node makes improvement lineage visible before it reaches Deming and Forge.

Summary

Why this node exists.

This node makes improvement lineage visible before it reaches Deming and Forge.

sourcequalityvariation

Forge DNA

Contribution profile.

Principles

2

Platform

0

Web Nodes

0

Services

0

Articles

1

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Ontology Explorer

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2 visible / 3 local nodes

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Visible Throughout Forge

Where this can be observed.

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Relationship Explorer

Bidirectional links.

Evidence

Provenance and confidence.

Provenance is modeled as part of the graph. Sources, confidence, relationship strength, implementation notes, and planned evidence can all become navigable records.

implementation

Statistical process control lineage

Shewhart's work anchors the lineage around variation, measurement, and feedback.

Forge Public Ontology

How does this fit in CTN?

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Graph Traversal Result

Statistical Process Control is a provenance node in the ConservaTech public ontology with 1 explicit relationship. Statistical Process Control inherits context from Walter A. Shewhart. Direct implementation links have not yet been modeled. No public visibility surface has been attached yet.

How This Fits in CTN

Graph traversal result.

Statistical Process Control is a provenance node in the ConservaTech public ontology. Lineage source for understanding variation, feedback, measurement, and system improvement.

  1. Supported ByWalter A. Shewhart

Statistical Process Control is a provenance node in the ConservaTech public ontology with 1 explicit relationship. Statistical Process Control inherits context from Walter A. Shewhart. Direct implementation links have not yet been modeled. No public visibility surface has been attached yet.

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