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Supply network dynamics and control

Dolgui, A.

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Supply network dynamics and control

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Supply network dynamics and control/ edited by Alexandre Dolgui, Dmitry Ivanov, Boris Sokolov.
其他作者:	Dolgui, A.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	v, 210 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Business logistics. -
電子資源:	https://doi.org/10.1007/978-3-031-09179-7
ISBN:	9783031091797

Supply network dynamics and control
Supply network dynamics and control[electronic resource] /edited by Alexandre Dolgui, Dmitry Ivanov, Boris Sokolov. - Cham :Springer International Publishing :2022. - v, 210 p. :ill., digital ;24 cm. - Springer series in supply chain management,v. 202365-6409 ;. - Springer series in supply chain management ;v. 20..

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.

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.

ISBN: 9783031091797

Standard No.: 10.1007/978-3-031-09179-7doiSubjects--Topical Terms:

648045
Business logistics.

LC Class. No.: HD38.5 / .S86 2022

Dewey Class. No.: 658.5

Supply network dynamics and control
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505 0 $a 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.
520 $a 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.
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