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"In the conditions of the modern market economy, in which globalization and competition is rife, quality is of great importance for determining a company's position on the market. The changing and complex economic reality is shaping new market patterns whilst modern technologies influence purchasing decisions. This book presents an effective and novel framework for creating value in industry 4.0 conditions by building a smart enterprise model using quality management theories. The book explores tools and platforms that can be utilised to contribute to the creation of the ideal quality for a demanding customers, using case studies from international contributors. It proposes novel architectures that drive economically viable production and services businesses, addressing unique industry 4.0 and 5.0 solutions in IoT that involve the entire spectrum of analysis, with a special focus on lean methodologies and cybersecurity. This original book will be valuable reading for researchers and scholars in the areas of quality management, manufacturing, production and operations management"--

Management. --- Production management. --- Quality control.

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Uncertainty. --- Decision making. --- Quality control. --- Industrial safety.

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The book covers in particular state-of-the-art scientific research about product quality control and related health and environmental safety topics, including human, animal and plant safety assurance issues. These conference proceedings provide contemporary information on the general theoretical, metrological and practical issues of the production and application of reference materials. Reference materials play an integral role in physical, chemical and related type of measurements, ensuring their uniformity, comparability and the validity of quantitative analysis as well as, as a result, the objectivity of decisions concerning the elimination of technical barriers in commercial and economic, scientific and technical and other spheres of cooperation. The book is intended for researchers and practitioners in the field of chemistry, metrologists, technical physics, as well as for specialists in analytical laboratories, or working for companies and organizations involved in the production, distribution and use of reference materials.

Measurement. --- Measuring instruments. --- Materials --- Materials. --- Spectrum analysis. --- Measurement Science and Instrumentation. --- Materials Characterization Technique. --- Materials Engineering. --- Spectroscopy. --- Analysis. --- Quality control --- Reference sources

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"The idea for this book grew out of discussions between the statistics faculty and the engineering faculty at the Colorado School of Mines regarding our introductory statistics course for engineers. Our engineering faculty felt that the students needed substantial coverage of propagation of error, as well as more emphasis on modelfitting skills. The statistics faculty believed that students needed to become more aware of some important practical statistical issues such as the checking of model assumptions and the use of simulation"

Mathematical statistics --- Bootstrap (Statistics) --- Linear models (Statistics) --- Engineering --- Science --- Bootstrap (statistique) --- Modèles linéaires (statistique) --- Ingénierie --- Sciences --- Simulation methods. --- Statistical methods. --- Méthodes statistiques. --- 519.248 --- 519.248 Engineering statistics. Operational research statistics. Queuing theory. Quality control. Reliability etc. --- Engineering statistics. Operational research statistics. Queuing theory. Quality control. Reliability etc.