Intelligent Quality Systems

  • Duc Truong Pham
  • Ercan Oztemel

Part of the Advanced Manufacturing book series (ADVMANUF)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Duc Truong Pham, Ercan Oztemel
    Pages 1-20
  3. Duc Truong Pham, Ercan Oztemel
    Pages 21-51
  4. Duc Truong Pham, Ercan Oztemel
    Pages 52-79
  5. Duc Truong Pham, Ercan Oztemel
    Pages 80-109
  6. Duc Truong Pham, Ercan Oztemel
    Pages 110-124
  7. Duc Truong Pham, Ercan Oztemel
    Pages 125-143
  8. Duc Truong Pham, Ercan Oztemel
    Pages 144-166
  9. Duc Truong Pham, Ercan Oztemel
    Pages 167-191
  10. Back Matter
    Pages 193-201

About this book


Although the tenn quality does not have a precise and universally accepted definition, its meaning is generally well understood: quality is what makes the difference between success and failure in a competitive world. Given the importance of quality, there is a need for effective quality systems to ensure that the highest quality is achieved within given constraints on human, material or financial resources. This book discusses Intelligent Quality Systems, that is quality systems employing techniques from the field of Artificial Intelligence (AI). The book focuses on two popular AI techniques, expert or knowledge-based systems and neural networks. Expert systems encapsulate human expertise for solving difficult problems. Neural networks have the ability to learn problem solving from examples. The aim of the book is to illustrate applications of these techniques to the design and operation of effective quality systems. The book comprises 8 chapters. Chapter 1 provides an introduction to quality control and a general discussion of possible AI-based quality systems. Chapter 2 gives technical information on the key AI techniques of expert systems and neural networks. The use of these techniques, singly and in a combined hybrid fonn, to realise intelligent Statistical Process Control (SPC) systems for quality improvement is the subject of Chapters 3-5. Chapter 6 covers experimental design and the Taguchi method which is an effective technique for designing quality into a product or process. The application of expert systems and neural networks to facilitate experimental design is described in this chapter.


artificial intelligence control design expert system intelligence manufacturing neural networks problem solving quality

Authors and affiliations

  • Duc Truong Pham
    • 1
  • Ercan Oztemel
    • 2
  1. 1.School of Engineering, Systems DivisionUniversity of Wales CardiffCardiffUK
  2. 2.Department of Industrial Engineering, Faculty of EngineeringSakarya UniversitySakaryaTurkey

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 1996
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1500-7
  • Online ISBN 978-1-4471-1498-7
  • Series Print ISSN 1431-0155
  • Buy this book on publisher's site