Industrial Quality Control

"Quality" is the latest buzz word in business and industry-quality control, quality assurance, quality improvement, and quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.

This practical introduction focuses on how to build integrated solutions to industrial vision problems from individual algorithms. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck software package, included on CD-ROM.

This book is an introduction to the world of aroma chemicals, essential oils, fragrances and flavour compositions for the food, cosmetics and pharmaceutical industry. Present technology, the future use of resources and biotechnological approaches for the production of the respective chemical compounds are described. The book has an integrated and interdisciplinary approach on future industrial production and the issues related to this topic.

After a sordid litany of recalls courtesy of the food industry, consumers are pointing the finger at companies that have failed to institute proper recall prevention techniques. While historical analysis shows no company is exempt from recall risk, most can be prevented with an efficient and verifiable quality control program.Authored by a 20-year

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.

This book provides a common sense computer-oriented, determinstic manufacturing approach, which employs statistics but does not require a background in this area, theoretical mathematics or computer science to understand and apply. In a clear, easy-to-read style, this reference text highlights critical parameters that have a major impact upon process quality and identifies sensors for parameter monitoring; discusses appropriate applications of deterministic techniques to many manifacturing situations ranging from simple to complex; includes chapter summaries, helpful illustrations and numerous citations to ehnance comprehension and facilitate further research. Written from the perspective of a practioner who 'knows how to make parts'; presenting practical solutions to manufacturing problems it is essential reading for industrial, quality control, electrical and electronics, mechancial, manufacturing and systems engineers/managers and undergraduate and graduate-level students in the above areas.

This book introduces the philosophy of Quality Assurance. The key components of the quality system are covered which is most appropriate to the needs of the particular industry. A detailed guide is given which addresses the nature and scope of tasks that must be undertaken in implementing a quality system. Quality starts at the design stage. A system will quantify by means of precise measurement and the production capability of the organisation. This will facilitate improved tolerance for the functionality of the product and the identification of areas of capability associated with specific tolerance demands. The correct application of the above will greatly facilitate the right-first-time manufacturing. Quality Assurance comprises administrative and procedural activities implemented in a quality system so that the requirements and goals for a product, service or activity will be fulfilled. It is the systematic measurement, comparison with a standard, monitoring of processes and an associated feedback loop that confers error prevention. This can be contrasted with quality control, which is focused on process output. Quality Assurance (QA) includes two principles: ‘Fit for use’ (the product should be suitable for the intended purpose); and the ‘right-first-time’ (mistakes should be eliminated). QA includes management of the quality of raw materials, assemblies, products and components, services related to production and management, production and inspection processes. The two principles also manifest before the background of developing a novel technical product.