Diagnostic errors and repetitive sequential classifications in on-line process control by attributes

• Published in: European journal of operational research Vol. 201; no. 1; pp. 231 - 238
• Main Authors: Costa Quinino, Roberto da, Colin, Emerson C., Ho, Linda Lee
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 16.02.2010; Elsevier; Elsevier Sequoia S.A
• Series: European Journal of Operational Research
• Subjects: Applied sciences; Classification; Diagnostic errors; Exact sciences and technology; Experimental design; Industrial metrology. Testing; Inspections; Markov analysis; Markov chain; Mathematics; Mechanical engineering. Machine design; On-line quality control by attributes; On-line quality control by attributes Diagnostic errors Repetitive sequential classification Markov chain; Probability and statistics; Process controls; Repetitive sequential classification; Sciences and techniques of general use; Statistics; Studies; Taguchi methods; Markov chain; Diagnostic errors; On-line quality control by attributes; Repetitive sequential classification; Production system; Ergodic theory; Probabilistic approach; Adjustment; Process control; Average cost; Ergodicity; Modeling; Interval arithmetic; Optimization; Experimental design; Classification; Quality control; Interval matrix; Diagnosis; Sampling; Taguchi method

The procedure of on-line process control by attributes, known as Taguchi’s on-line process control, consists of inspecting the mth item (a single item) at every m produced items and deciding, at each inspection, whether the fraction of conforming items was reduced or not. If the inspected item is no...