INTELLIGENT MANAGEMENT SYSTEMS FOR ENERGY, RESOURCE, AND LOGISTICS FLOWS: CONCEPTS, METHODS, AND PRACTICAL INTEGRATION

This monograph delineates contemporary approaches to the holistic management of energy, material resources, and logistics flows through the deployment of Intelligent Management Systems (IMS). It investigates the theoretical and practical frameworks for integrating energy, water, and material streams across manufacturing and transport-logistics facilities. Key themes include methodologies for peak load forecasting, resource allocation optimization, and the fortification of system resilience against external perturbations. Particular emphasis is placed on the convergence of digital twins, adaptive algorithms, scenario modeling, and process automation within a unified digital ecosystem. The work illuminates practical case studies of IMS implementation within industrial enterprises, distribution hubs, and transport networks, alongside pedagogical strategies for cultivating the next generation of specialists. Furthermore, the text explores the evolutionary trajectory of integrated platforms, highlighting their interoperability with the Internet of Things (IoT), cloud architectures, predictive analytics, and global logistics ecosystems. This publication is targeted at researchers, engineers, and professionals in logistics, energy, and resource management, as well as academic curricula designed to prepare experts in the digital transformation of industrial and logistics systems.