Setting up a GXP environment where none existed previously is a very daunting task. Getting staff to write down what they do for every task is a correspondingly difficult and time-consuming exercise. Examining how to maintain quality control in clinical trial research, A Practical Guide to Quality Management in Clinical Trial Research provides a co

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

Producing products of reliable quality is vitally important to the food and beverage industry. In particular, companies often fail to ensure that the sensory quality of their products remains consistent, leading to the sale of goods which fail to meet the desired specifications or are rejected by the consumer. This book is a practical guide for all those tasked with using sensory analysis for quality control (QC) of food and beverages. Chapters in part one cover the key aspects to consider when designing a sensory QC program. The second part of the book focuses on methods for sensory QC and statistical data analysis. Establishing product sensory specifications and combining instrumental and sensory methods are also covered. The final part of the book reviews the use of sensory QC programs in the food and beverage industry. Chapters on sensory QC for taint prevention and the application of sensory techniques for shelf-life assessment are followed by contributions reviewing sensory QC programs for different products, including ready meals, wine and fish. A chapter on sensory QC of products such as textiles, cosmetics and cars completes the volume. Sensory analysis for food and beverage quality control is an essential reference for anyone setting up or operating a sensory QC program, or researching sensory QC. - Highlights key aspects to consider when designing a quality control program including sensory targets and proficiency testing - Examines methods for sensory quality control and statistical data analysis - Reviews the use of sensory quality control programs in the food and beverage industry featuring ready meals, wine and fish

Complex building codes and technological developments have made the quality assurance process complicated and time-consuming for building professionals. Packed with detailed illustrations, step-by-step methods, and check sheets for each discipline, this is the only book to offer a proven, team-driven process for simplifying and expediting quality control at the drafting stage. Provides a step-by-step process for a team approach to quality control at the drafting stage -- before costly mistakes happen Extensive, detailed illustrations and clear explanations of the rationale and code issues behind each check Real-world examples and 60+ details and diagrams that offer at-a-glance information

While there are many quality assurance books on the market, very few address the application of the concept to the seafood industry. In addition, many of the books that are available take a theoretical approach and there fore do not provide actual examples of the "fins and bones" of quality programs. The author, in teaching quality assurance over nine years, has not been able to find a textbook that is suitable as a reference text in quality assurance courses for the seafood industry. It is this situation that has prompted the preparation of this book, which takes a practical approach to the subject of quality assurance in seafood processing operations. This book can serve as either a textbook or as a reference text. As a textbook it is written for students of quality assurance at the technician, technologist, and university levels. In this role it is intended that the student will start at the beginning of the book and proceed through in sequence, so as to gain a complete understanding of the design, implementation, and operation of a quality program in seafood processing operations. It is the hope of the author that the book also functions quite well as a desk reference for the managers of seafood processing operations who need to refer occa sionally to particular items or chapters. In this sense, each chapter is designed to stand alone as a discussion of a particular concept within the quality assurance discipline.