A Practical Guide to Statistical Process Management by Adler Yu. P. and Spera B. L. is a unique tool that clearly demonstrates how to apply statistical methods to manage processes in various fields. This edition will be an indispensable assistant for both novice professionals and experienced professionals seeking to improve the efficiency of their work. The book focuses on the concept of statistical process management (MSM), which allows not only to control, but also to optimize production and business processes. The authors share their rich experience and knowledge with readers, explaining how to use statistical methods to identify problems, analyze data and make informed decisions. The book presents practical examples that illustrate the application of theoretical concepts in real conditions, which makes the material accessible and understandable. Who can like this guide? First of all, the book will be of interest to students and graduate students of technical and economic specialties, as well as practicing engineers, managers and quality specialists . If you work in manufacturing, logistics, project management or any other area where process efficiency is important, this publication will be a real find for you. It will help you not only to master the basic principles of statistical management, but also to apply them in practice, which will certainly increase your competitiveness in the labor market. The topics raised in the book cover a wide range of issues related to quality management and process optimization. The authors elaborate on aspects such as control maps, variation analysis, process improvement techniques, and more. They emphasize the importance of a systematic approach to management, which allows not only to identify problems, but also to find effective solutions. This book not only teaches, but also inspires the introduction of new ideas and approaches to work. The style of the authors is distinguished by clarity and accessibility of the presentation . They avoid complex terms and excessive scientific vocabulary, which makes the material understandable even for those who are just beginning to get acquainted with the topic. In addition, Adler Yu. P. and Sper W. L. actively use graphic elements, tables and diagrams, which allows the reader to better assimilate information and see the practical application of the theory It is worth noting that both authors have extensive experience in statistics and quality management. Yuri Petrovich Adler is known for his work in the field of quality management and is the author of several textbooks and manuals that are popular among students and practitioners. Vladimir Lvovich Sper is also an expert in his field and is actively engaged in scientific and teaching activities. Their joint work in the "Practical Guide to Statistical Process Management" is the result of many years of research and practical experience, which makes the book especially valuable. If you are looking for a quality and practical guide to statistical process management that will help you learn the necessary skills and apply them in your work, then this publication will be an excellent choice for you. It will not only enrich your knowledge, but also inspire new achievements in your professional activities. Do not miss the opportunity to get acquainted with this book and discover the world of statistical management, which is able to change your approach to work and increase the efficiency of your processes.