Sorting out problems

Antony, Jiju; Kaye, Mike; Robinson, Dexter

doi:10.1049/me:19960508

Cited by 2 publications

(2 citation statements)

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“…More information on the development of problem classification framework and problem matching may be obtained from the article "Sorting out problems" by the authors (Antony and Kaye, 1996). One of the problems encountered was the classification of problems under a combination of parameter and tolerance design.…”

Section: Step Two: Problem Identification Definition and Classificationmentioning

confidence: 99%

“…The objective of these experiments is to make the products and processes robust (or insensitive) to undesirable disturbances such as environmental and manufacturing variations. A number of successful applications of DoE and Tms for improving product quality, process performance and reducing variability in processes have been reported by many manufacturers over the last ten years (Antony et al,1996;Kumar and Tobin, 1990;Ramberg et al, 1989;Sheaffer et al, 1990). However, research has shown that the application of such techniques by the engineering fraternity in industries is limited .…”

Section: Introductionmentioning

confidence: 99%

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A strategic methodology to the use of advanced statistical quality improvement techniques

Kaye

Frangou

1998

The TQM Magazine

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It is widely considered that the advanced statistical quality improvement techniques (ASQIT) such as design of experiments and Taguchi methods form an essential part of the search for effective quality control. These quality improvement techniques are well established methodologies in which statisticians are formally trained. Research has shown that the application of these ASQIT for solving process quality problems by industrial engineers in manufacturing companies are limited and when applied they are often performed incorrectly. Presents a strategic and practical methodology with the aim of assisting industrial engineers to tackle manufacturing quality problems in a systematic and structured manner. The potential benefit of this practical methodology is its simplicity in usage and it is therefore readily accessible to the engineering fraternity for solving quality problems in real life situations. The paper also highlights the results of five industrial case studies which were used to validate and refine the methodology.Strategic methodology to use of quality improvement techniques

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Section: Step Two: Problem Identification Definition and Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%