Effecting a quality change: an engineering approach
Providing an understanding of what is meant by quality and its unique position in a manufacturing environment to improve competitive business performance, this text defines all the fundamental ingredients required to introduce an improvement in quality. Concise and easy to read, the theory is backed up by numerous industrial experiences, illustrating the practical obstacles when implementing any quality change. Focusing on the essentials of quality (strategies, principles and techniques) designing for quality is also discussed and new techniques for assessing the risks and costs of non-conformance are introduced. The result is an insight to quality engineering that will prove invaluable to engineering students and professionals.
Inclusion of case studies
Useful for university staff, practising engineers and managers interested in effecting a quality improvement
Also ideal for undergraduates and postgraduates of engineering and business studies
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ACCEPTABLE DESIGN achieve action limit application approach assembly assessment BAe MAD British Aerospace competitive component Conformability Analysis conformability matrix continuous improvement control limit costs of quality customer requirements customer satisfaction defect defined delivery Design for Quality Design Review elements engineering ensure essss factors failure costs Failure Mode FMEA function identify implementation inspection Isocost leadership through quality levels manufacturing Mean control chart measure ment nonconformance occurrence operation organisation Pareto analysis performance Poka Yoke potential prevention problems process capability index product development programme Quality Assurance quality circles Quality Control quality cost Quality Function Deployment quality improvement quality policy quality tools Range control chart Rank Xerox Rover Group sample shown in Figure software quality SPC data specification standards Statistical Process Control strategy tion tools and techniques Total Quality Management TUBE University of Hull variability warning limit workforce