TY  - BOOK
AU  - Dolgui,Alexandre
AU  - Ivanov,Dmitry
AU  - Sokolov,Boris
TI  - Supply Network Dynamics and Control
T2  - Springer Series in Supply Chain Management,
SN  - 9783031091797
U1  - 658.5 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Production management
KW  - Business logistics
KW  - Operations research
KW  - System theory
KW  - Control theory
KW  - Operations Management
KW  - Supply Chain Management
KW  - Operations Research and Decision Theory
KW  - Systems Theory, Control
N1  - Introduction to Supply Network Dynamics and Control -- Digital Transformation Process Towards Resilient Production Systems and Networks -- Collaborative Control, Task Administration, and Fault Tolerance for Supply Chain Network-Dynamics -- Managing Supply Chain Disruption by Collaborative Resource Sharing -- Reconfigurable Strategies to Manage Uncertainties in Supply Chains Due to Large-Scale Disruptions -- Impact of Additive Manufacturing on Supply Chain Resilience during COVID-19 Pandemic -- Short-Term Routing Models for COVID-19 Treatment Transfer between Hospitals -- AI-Enhanced Maintenance for Building Resilience and Viability in Supply Chains -- Building Viable Digital Business Ecosystems with Collaborative Supply Chain Platform SupplyOn
N2  - This book provides a comprehensive overview of recent developments in network dynamics and control with applications to supply chains, manufacturing and logistics systems. It systemizes these developments in the form of new taxonomies and methodological principles to shape the research domain of supply network dynamics control. Uniquely, the book links the fundamentals of control and system theories and artificial intelligence with supply chain and operations management. It addresses the needs of researchers and practitioners alike, revealing the challenges and opportunities of supply chain and operations management by means of dynamic system analysis
UR  - https://doi.org/10.1007/978-3-031-09179-7
ER  -