Dmitry Ivanov Book order

Die Resilienz von Lieferketten wird umfassend behandelt, wobei Management-, Modellierungs- und Technologieperspektiven einfließen. Das Buch dient als Ergänzung zu einem Lehrbuch und fokussiert auf Risiken sowie die Widerstandsfähigkeit von Lieferketten. Es beschreibt zentrale Merkmale und Methoden zur Minderung von Unterbrechungen und deren Wiederherstellung. Praktische Beispiele und Fallstudien veranschaulichen die theoretischen Konzepte. Die klare und strukturierte Darstellung macht es sowohl für Studierende als auch für Fachleute im Bereich Supply-Chain-Management zugänglich.

Focusing on supply chain resilience, this book delves into management, modeling, and technology perspectives, complementing the textbook "Global Supply Chain and Operations Management." It examines supply chain risks and resilience with practical examples and case studies, avoiding complex mathematical derivations for clarity. The content is tailored for both students and professionals from management and engineering backgrounds, offering a structured and accessible approach to understanding key concepts and methodologies for mitigating disruptions and enhancing resilience.

The second edition of this textbook offers a comprehensive exploration of global supply-chain and operations management, emphasizing value creation networks and their interconnected processes. It highlights the operational roles within these networks and presents essential quantitative and organizational methods for managing material, information, and financial flows. Each chapter begins with a case study, supplemented by diverse industry examples to clarify key concepts. The text covers the design of operations and supply networks, integrating suppliers and customers, and addresses the critical aspect of matching supply and demand in tactical planning, leading to resource allocation for customer fulfillment. Significant updates include three new chapters on “Supply Chain Risk Management and Resilience,” “Digital Supply Chain, Smart Operations, and Industry 4.0,” and “Pricing and Revenue-Oriented Capacity Allocation.” These additions provide structured insights into managing supply-chain risks and enhancing performance through digital technologies like Industry 4.0 and predictive analytics. Existing chapters have been revised, and new case studies added. The preface offers guidance for instructors on utilizing the material across various educational levels. The companion website has been updated, and e-manuals for simulation and optimization in AnyLogic and anyLogistix are now included, making this resource valuable for studen

Logistics and supply chains (SC) involve the physical movement of materials and products, including transportation, warehousing, trans-shipment, and order-picking processes. These elements must be integrated and coordinated with production processes, creating inherent dynamics within logistics systems and SCs. The significance of understanding these dynamics and their effects on the performance and resilience of logistics and SC systems is increasingly recognized in both literature and practice. As modern logistics and SC systems become more networked and integrated, isolated operational problems evolve into complex, multi-dimensional challenges, characterized by various factors such as multi-stage, multi-period, and multi-commodity issues. The diversity of dynamic characteristics—like demand fluctuations, inventory dynamics, dynamic lot-sizes, changes in supplier structures, and information dynamics—can significantly affect performance. Additionally, disruptions from natural or human-driven events further complicate these systems. The interplay of these dynamics across different organizational, functional, product-based, informational, and financial structures, combined with coordinated decision-making by active decision-makers, underscores the complexity of modern logistics and SC systems as multi-structural active systems with dynamic structures.