The book "Network models in perspective planning of production development" by Alexeyev, A. M. is a fascinating and in-depth study that opens up new horizons in the field of production process management. In a rapidly changing economy and growing competition, effective planning is becoming a key success factor for any company. The author, possessing rich experience and deep knowledge in the field of production management, offers readers a unique approach to solving complex problems related to the planning and optimization of production processes. In this book, Alex A. M. explores network models that allow not only to visualize, but also to analyze the complex relationships between the various elements of the production system The reader is immersed in the world of mathematical models and algorithms that help in making strategically important decisions. The focus is on how network models can be used for forecasting and planning, which is especially relevant for enterprises seeking sustainable development and innovation. The book will be of interest to a wide range of readers: from undergraduate and graduate students studying economics and management, to practitioners and executives who want to improve their skills in production management. If you are interested in how modern technologies and methods can be applied to improve production efficiency, then this work will be a real discovery for you. The topics raised in the book cover a wide range of issues, from the basics of network modeling to practical examples of its application in real-world conditions. The author not only shares theoretical knowledge, but also offers readers specific cases that illustrate how network models help in solving practical problems. This makes the book not only theoretically significant, but also practically useful for those who want to introduce new approaches to their work. The style of A. M. is clear and accessible, which allows readers to easily assimilate even the most complex concepts. His previous works, such as “Managing Production Systems” and “Business Process Modeling”, have also been popular and have received positive reviews for their practical focus and in-depth analysis. In Network Models in Advanced Production Planning, the author continues this tradition, offering readers not only theoretical knowledge, but also specific tools for application in their practice. This book will be an excellent addition to the library of everyone who seeks professional growth in the field of production management. It inspires new ideas and approaches, and encourages critical thinking and analysis. If you want to be one step ahead of the competition and use modern planning methods to achieve success, “Network models in long-term production planning” is exactly what you need. In conclusion, it is worth noting that this book is not just a tutorial, but a real find for everyone who wants to understand more deeply how network models can change the approach to planning and managing production processes. Read, analyze, and incorporate new knowledge into your practice, and you will see how it can transform your work and lead to new achievements.