Managing Product Quality By Integrating Operations Research and Artificial Intelligence Technologies

  • Authors:
  • Charles S. Moon;Thomas M. Moore;Suheil M. Nasser

  • Affiliations:
  • -;-;-

  • Venue:
  • IAAI '93 Proceedings of the The Fifth Conference on Innovative Applications of Artificial Intelligence
  • Year:
  • 1993

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Abstract

This paper describes a model-based expert system called Quality and Reliability Expert System (QRES). QRES is a hybrid system for quality management applications. QRES implements quality and reliability prediction models of Operations Research (OR) technology in an Artificial Intelligence (AI) software technology area known as Expert Systems (ES) or Knowledge Based Systems (KBS). QRES is presently used to: 驴 Identify problem areas in manufacturing production lines 驴 Identify where to make improvements which maximize quality levels at the least cost 驴 Predict production quality levels for new components and assemblies during design and developmentQRES performs quality and reliability analysis using: 驴 Object data structures 驴 Defect cause/effect correlation 驴 Quality trend in process 驴 Process control 驴 Correlation between product types and their defect mechanisms 驴 Interactive graphics 驴 Detailed hypertext help with examples