東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Supply network dynamics and control

Dolgui, A.

FindBook

Google Book

Amazon

博客來

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
LDR:02491nmm a2200337 a 4500 001 2304644
003 DE-He213
005 20221009061847.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031091797 $q (electronic bk.)
020 $a 9783031091780 $q (paper)
024 7 $a 10.1007/978-3-031-09179-7 $2 doi
035 $a 978-3-031-09179-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HD38.5 $b .S86 2022
072 7 $a KJMV $2 bicssc
072 7 $a BUS087000 $2 bisacsh
072 7 $a KJMV $2 thema
082 0 4 $a 658.5 $2 23
090 $a HD38.5 $b .S959 2022
245 0 0 $a Supply network dynamics and control $h [electronic resource] / $c edited by Alexandre Dolgui, Dmitry Ivanov, Boris Sokolov.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a v, 210 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in supply chain management, $x 2365-6409 ; $v v. 20
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.
650 0 $a Business logistics. $3 648045
650 0 $a Business logistics $x Data processing. $3 731545
650 0 $a Business networks. $3 601116
650 0 $a Control theory. $3 535880
650 1 4 $a Operations Management. $2 swd $3 1283589
650 2 4 $a Supply Chain Management. $2 swd $3 1283588
650 2 4 $a Operations Research and Decision Theory. $3 3591727
650 2 4 $a Systems Theory, Control. $3 893834
700 1 $a Dolgui, A. $q (Alexandre) $3 1638870
700 1 $a Ivanov, Dmitry. $3 1066648
700 1 $a Sokolov, B. V. $3 3607037
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer series in supply chain management ; $v v. 20. $3 3607038
856 4 0 $u https://doi.org/10.1007/978-3-031-09179-7
950 $a Business and Management (SpringerNature-41169)