Summary Repeatability

The must-read summary of Chris Zook and James Allen's book: "Repeatability: Build Enduring Businesses for a World of Constant Change". This complete summary of the ideas from Chris Zook and James Allen's book "Repeatability" shows that repeating what has already proved successful is the key to growth, as it prevents companies from failing due to their complexity. In their book, the authors explain that the best way to grow your business is not to look for new projects, but to build your own great repeatable business model. This summary will teach you how to repeat the successes of others in your company in order to guarantee future success. Added-value of this summary: • Save time • Understand key concepts • Expand your business knowledge To learn more, read "Repeatability" and discover how you can develop the perfect business model that will lead your company to success.

Pharmaceutical analysis determines the purity, concentration, active compounds, shelf life, rate of absorption in the body, identity, stability, rate of release etc. of a drug. Testing a pharmaceutical product involves a variety of chemical, physical and microbiological analyses. It is reckoned that over £10 billion is spent annually in the UK alone on pharmaceutical analysis, and the analytical processes described in this book are used in industries as diverse as food, beverages, cosmetics, detergents, metals, paints, water, agrochemicals, biotechnological products and pharmaceuticals. This is the key textbook in pharmaceutical analysis, now revised and updated for its fourth edition. Worked calculation examples Self-assessment Additional problems (self tests) Practical boxes Key points boxes New chapter on Biotech products. New chapter on electrochemical methods in diagnostics. Greatly extended chapter on molecular emission spectroscopy to accommodate developments and innovations in the area. Now on StudentConsult

Based on a multiyear study of such firms as Apple, IKEA, and Vanguard, the authors warn against complexity as a strategy for business planning, advocating instead for a simple, repeatable model that provides for constant improvement.

The motivation for this book comes from the author’s extensive experience with trying to apply the standard measurement systems analysis methods to real-world problems that arise in manufacturing and industry. The methods work well for simple systems that are not dynamic and have only two significant sources of error, but leave a lot to be desired in other circumstances. This shortfall is especially clear in the case of attribute measurement systems analysis in which the standard method is far from adequate. This book provides clear procedures for situations in which the part values change or are destroyed. It also provides procedures that work when the measurements are dynamic and cannot be separated from the process. It extends the simple methods to cases in which the measurement systems have several sources of uncertainty. And it completely overhauls the attribute methodology and enables it for many difficult but practical applications. Each extension of the method is detailed in a chapter complete with realistic examples and end-of-chapter summaries called “Take Home Pay” which clue the reader into the key points that are critical for the attempt to enable bottom line success. The reader who uses these methods will find that they can quickly make significant improvement in their destructive, dynamic, and attribute measurement systems with less effort.

An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of "3D shape analysis". It covers the theoretical foundations and the major solutions that have been presented in the literature. It also establishes links between solutions proposed by different communities that studied 3D shape, such as mathematics and statistics, medical imaging, computer vision, and computer graphics. The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends. 3D Shape Analysis: Fundamentals, Theory, and Applications is an excellent reference for graduate students, researchers, and professionals in different fields of mathematics, computer science, and engineering. It is also ideal for courses in computer vision and computer graphics, as well as for those seeking 3D industrial/commercial solutions.