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NASA HDBK 8739.18 : 2008

Withdrawn

Withdrawn

A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.

PROCEDURAL HANDBOOK FOR NASA PROGRAM AND PROJECT MANAGEMENT OF PROBLEMS, NONCONFORMANCES, AND ANOMALIES - MEASUREMENT SYSTEM IDENTIFICATION: METRIC

Withdrawn date

29-04-2013

Published date

01-01-2008

1 SCOPE
  1.1 Purpose
  1.2 Applicability
2 APPLICABLE AND REFERENCE DOCUMENTS
  2.1 Applicable Documents
      2.1.1 General
      2.1.2 Government Documents
      2.1.3 Non-Government Documents
3 ACRONYMS AND DEFINITIONS
  3.1 Acronyms
  3.2 Definitions
4 THE MANAGEMENT OF PROBLEMS, NONCONFORMANCES, AND ANOMALIES
  4.1 Technical Data Management
      4.1.1 Problem Identification
      4.1.2 Problem Assessment and Investigation Analysis
      4.1.3 Root Cause Determination
      4.1.4 Problem Report
      4.1.5 Corrective Action and Problem Resolution
      4.1.6 Problem Recurrence Control and Lessons Learned
      4.1.7 Problem Disposition and Closure
  4.2 Support Processes
      4.2.1 Data Mining
      4.2.2 Trend Analysis
APPENDIX A - Technical Data Management Plan
 A.1 Overview
 A.2 Technical Data Management Plan Template
APPENDIX B - Technical Data Management Examples, Guidance
             and Criteria
 B.1 Minimum Criteria for Reportable Identified Problems
 B.2 Example of Investigation and Failure Analysis Requirements
 B.3 Example of Guidance for Root Cause Determination
 B.4 Example of Guidance for Problem Reporting and Corrective
     Action
 B.5 Example of Guidance for Recurrence Control
 B.6 Example of Guidance for the Disposition and Closure of
     Problems
APPENDIX C - Significant Problem Report (SPR)
 C.1 Overview
 C.2 SPR Template
 C.3 SPR Summary List Template
APPENDIX D - Data Mining Overview
 D.1 Introduction
 D.2 Data Mining Methods
 D.3 Process Model
     D.3.1 Data Processing
 D.4 Classification Methods
     D.4.1 k-Nearest Neighbor Algorithm
     D.4.2 Decision Trees
 D.5 Clustering Techniques
     D.5.1 Hierarchical Clustering Methods
 D.6 Neural Networks
     D.6.1 Input and Output Encoding
     D.6.2 Sigmoid Activation Function
 D.7 Kohonen Maps
     D.7.1 Self-Organizing Maps (SOM)
     D.7.2 Kohonen Networks Algorithm
 D.8 Affinity Analysis
APPENDIX E - Trending Analysis Overview
 E.1 Trend Analysis Procedures
 E.2 Purpose
 E.3 Guidelines
     E.3.1 Overview
     E.3.2 Basic Guidelines for Trend Analysis
     E.3.3 Elements of Trend Analyses
 E.4 Performance Trend Analysis
     E.4.1 Overview
     E.4.2 Applications of Performance Trend Analysis
     E.4.3 Candidates for Performance Trend Analysis
     E.4.4 Data Sources of Performance Trend Analysis
     E.4.5 Considerations for Performance Trend Analysis
     E.4.6 Procedures for Performance Trend Analysis
 E.5 Problem Trend Analysis
     E.5.1 Introduction to Problem Trend Analysis
     E.5.2 Objective of Problem Trend Analysis
     E.5.3 Candidates for Problem Trend Analysis
     E.5.4 Data Sources for Problem Trend Analysis
     E.5.5 Considerations for Problem Trend Analysis
     E.5.6 Procedures for Problem Trend Analysis
     E.5.7 Reporting
 E.6 Supportability Trend Analysis
     E.6.1 Introduction to Supportability Trend Analysis
     E.6.2 Objectives of Supportability Trend Analysis
     E.6.3 Candidates for Supportability Trend Analysis
     E.6.4 Data Sources for Supportability Trend Analysis
     E.6.5 Considerations of Supportability Trend Analysis
     E.6.6 Procedures for Supportability Trend Analysis
     E.6.7 Reporting for Supportability Trend Analysis
 E.7 Programmatic Trend Analysis
     E.7.1 Introduction to Programmatic Trend Analysis
     E.7.2 Objectives of Programmatic Trend Analysis
     E.7.3 Candidates for Programmatic Trend Analysis
     E.7.4 Data Sources for Programmatic Trend Analysis
     E.7.5 Procedures for Programmatic Trend Analysis
     E.7.6 Reporting

Provides guidance for managing the complete life cycles of problems, nonconformances, and anomalies. Program and project managers are the primary audience.

DevelopmentNote
Expiration Date: 29-04-2013. (05/2008)
DocumentType
Standard
PublisherName
National Aeronautics and Space Administration
Status
Withdrawn

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