Design of a knowledge-based expert system for statistical process control

A comprehensive expert system design is presented for all problem-solving aspects of statistical process control. Issues concerning the integration of monitoring, interpreting, diagnosing, planning, and statistical consulting for statistical process control are addressed. All aspects of the expert system are discussed. In addition, a new similarity measure useful in a clustering approach to the knowledge organization is proposed. An example session is presented which diagnoses a cyclic pattern in a surface-finishing operation.