Modeling an Statistical Analysis in Quality Assurance

Abstract

The focus of this research project has been the development of methods for designing process control systems and developing techniques for analyzing engineering test data, such as regression and time series methods, as well as the application of sampling inspection and control techniques to various problems in defense procurement. During the conduct of the research, numerous site visits have been made to Navy installations at Crane, Indiana, the Naval Ship Research and Development Center, the Operational Test and Evaluation Force at Norfolk, Virginia, and several units of the Naval Facilities Engineering Command. These visits have involved discussions of research projects with scientific, technical, and management personnel, and have served to focus research on statistical methods and quality of assurance procedures that are of current and direct interest to the Navy. The research activities have focused on three principal areas. The first of these is the development of new methods for designing process control procedures. The second research area has involved statistical modeling and analysis, concentrating principally on regression analysis and time series analysis. The third area has involved the use of acceptance sampling schemes specifically designed for auditing service contracts.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1978
Accession Number
ADA165979

Entities

People

  • Douglas C. Montgomery

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Complex Systems
  • Computer Programs
  • Computers
  • Contracts
  • Control Systems
  • Data Analysis
  • Engineering
  • Management Personnel
  • Operations Research
  • Quality Control
  • Regression Analysis
  • Sampling
  • Statistical Analysis
  • Statistical Processes
  • Systems Engineering
  • Test And Evaluation
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Facility/Structural Engineering.
  • Theoretical Analysis.