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Introduction to Intelligent Quality Management

Introduction to Intelligent Quality Management
Author: Ercan Oztemel
Publisher:
Total Pages: 0
Release: 2018
Genre: Electronic books
ISBN:

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Intelligent manufacturing is becoming more and more attractive for industrial societies especially after the introduction of industry 4.0 where most of industrial operations are to be carried by robots equipped with intelligent capabilities. This explicitly implies that the manufacturing systems will entirely be integrated and all manufacturing functions including quality control and management will have to be made as much intelligent as possible in operating with minimum human intervention. This Chapter will present a brief overview of some implications about intelligent quality systems. It intends to provide the readers of the book to understand how the concept of artificial intelligence is to be embedded into quality functions. It is known that the interoperability is the rapid transformation requirement of industry specific operations. This requires the integration of quality functions to other manufacturing functions for sharing the quality related knowledge with other manufacturing functions in order to sustain total intelligent collaboration. Achieving this, on the other hand, ensures the improvement of manufacturing processes for better performance in an integrated manner. Note that, although some general information about intelligent manufacturing systems are given, this chapter is particularly focused on discussing intelligent quality related issues.


Intelligent Quality Systems

Intelligent Quality Systems
Author: Duc T. Pham
Publisher: Springer Science & Business Media
Total Pages: 212
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1447114981

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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.


Intelligent Decision Making in Quality Management

Intelligent Decision Making in Quality Management
Author: Cengiz Kahraman
Publisher: Springer
Total Pages: 474
Release: 2015-10-31
Genre: Technology & Engineering
ISBN: 331924499X

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This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.


Quality Control

Quality Control
Author: Pengzhong Li
Publisher: BoD – Books on Demand
Total Pages: 244
Release: 2021-03-24
Genre: Technology & Engineering
ISBN: 1839624973

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Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.


Intelligent Quality Systems

Intelligent Quality Systems
Author: Duc T Pham
Publisher:
Total Pages: 216
Release: 1996-05-28
Genre:
ISBN: 9781447114994

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Intelligent Quality of Service Technologies and Network Management: Models for Enhancing Communication

Intelligent Quality of Service Technologies and Network Management: Models for Enhancing Communication
Author: Bhattarakosol, Pattarasinee
Publisher: IGI Global
Total Pages: 404
Release: 2010-04-30
Genre: Medical
ISBN: 1615207929

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"This book "quality of service" in organizations, offering fundamental knowledge on the subject, describing the significance of network management and the integration of knowledge to demonstrate how network management is related to QoS in real applications"--Provided by publisher.


Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18)

Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18)
Author: Ajith Abraham
Publisher: Springer
Total Pages: 450
Release: 2018-12-05
Genre: Technology & Engineering
ISBN: 3030018210

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This book contains papers presented in the main track of IITI 2018, the Third International Scientific Conference on Intelligent Information Technologies for Industry held in Sochi, Russia on September 17–21. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI). IITI 2018 was devoted to practical models and industrial applications related to intelligent information systems. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the state-of-the-art in intelligent systems and soft computing were also included into proceedings.


Digital Quality Management in Construction

Digital Quality Management in Construction
Author: Paul Marsden
Publisher: Routledge
Total Pages: 252
Release: 2019-04-30
Genre: Architecture
ISBN: 0429750854

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Much has been written about Building Information Modelling (BIM) driving collaboration and innovation, but how will future quality managers and engineers develop digital capabilities in augmented and video realities, with business intelligence platforms, robots, new materials, artificial intelligence, blockchains, drones, laser scanning, data trusts, 3D printing and many other types of technological advances in construction? These emerging technologies are potential game changers that require new skills and processes. Digital Quality Management in Construction is the first ‘how to’ book on harnessing novel disruptive technology in construction quality management. The book takes a tour of the new technologies and relates them to the management of quality, but also sets out a road map to build on proven lean construction techniques and embed technologically based processes to raise quality professionals’ digital capabilities. With the mountain of data being generated, quality managers need to unlock its value to drive the quality of construction in the twenty-first century, and this book will help them do that and allow those working in construction Quality Management to survive and thrive, creating higher quality levels and less waste. This book is essential reading for quality managers, project managers and all professionals in the Architecture, Engineering and Construction industry (AEC). Students interested in new and disruptive technologies will also learn a great deal from reading this book, written by a professional quality manager with nearly thirty years’ experience in both the public and private sectors.


Quality Management

Quality Management
Author: Peter D. Mauch
Publisher: CRC Press
Total Pages: 174
Release: 2009-12-17
Genre: Business & Economics
ISBN: 1439813817

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In the past, when goods and services were simpler, measurement of quality was self-evident. As business became more complicated, so too did the implementation of quality management and our ability to measure it. Ultimately, the practice of quality strayed from being a business practice to become much more of an engineering discipline producing plen


Systems Biology for Traditional Chinese Medicine

Systems Biology for Traditional Chinese Medicine
Author: Guoan Luo
Publisher: John Wiley & Sons
Total Pages: 518
Release: 2012-05-11
Genre: Science
ISBN: 1118313356

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The application of systems biology methods to Traditional Chinese Medicine Emphasizing the harmony of the human body with the environment, Traditional Chinese Medicine (TCM) has evolved over thousands of years. It is a systemic theory derived from clinical experience, the philosophy of holism and systematology, and the belief that man is an integral part of nature. Systems Biology for Traditional Chinese Medicine describes how the latest methods in systems biology can be applied to TCM, providing a comprehensive resource for the modernization and advancement of TCM as well as general drug discovery efforts. It is the first comprehensive work to propose a system-to-system research methodology to study the interaction between TCM and the human body and its applications in drug research and development. Using three popular traditional Chinese medicines—Shuanglongfang, Qingkailing, and Liushenwan—as examples, the authors set forth case examples demonstrating how to find material groups, perform efficacy screenings, and conduct safety evaluations of TCM. The book also: Describes the mechanisms of TCM at the molecular and systems levels using chemomics, genomics, proteomics, metabolomics, and bioinformatics Places modern scientific technologies within the context of TCM, helping drug researchers improve experimental designs and strategies Illustrates how a systems biology approach is compatible with TCM's traditional, holistic therapeutic strategies and treatment modalities Presents topics of current interest, such as integrated global systems biology and the application of chemometrics research to herbal medicines This book not only opens a new pathway for the continued development of TCM, but also for systems biology. In addition, it fosters collaboration and discussion among Eastern and Western scientists by applying systems biology to TCM.