Abstract
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. Also highlights the results of five industrial case studies which were used to validate and refine the methodology.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
