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 chain management in manufactu...

Srinivas, Sharan.

FindBook

Google Book

Amazon

博客來

Supply chain management in manufacturing and service systems = advanced analytics for smarter decisions /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Supply chain management in manufacturing and service systems/ edited by Sharan Srinivas, Suchithra Rajendran, Hans Ziegler.
其他題名:	advanced analytics for smarter decisions /
其他作者:	Srinivas, Sharan.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xviii, 278 p. :ill. (some col.), digital ;24 cm.
內容註:	An Overview of Decisions, Performance and Analytics in Supply Chain Management -- Intelligent Digital Supply Chains -- Product Life Cycle Optimization Model for Closed Loop Supply Chain Network Design -- Supply Chain Risk Management in Indian Manufacturing Industries: An Empirical Study and a Fuzzy Approach -- Improving Service Supply Chain of Internet Services by Analyzing Online Customer Reviews -- An Integrated Problem of Production Scheduling and Transportation in a Two-Stage Supply Chain with Carbon Emission Consideration -- A Simulation-Based Evaluation of Drone Integrated Delivery Strategies for Improving Pharmaceutical Service -- Pro-Active Strategies in Online Routing -- Prescriptive Analytics for Dynamic Real Time Scheduling of Diffusion Furnaces.
Contained By:	Springer Nature eBook
標題:	Business logistics. -
電子資源:	https://doi.org/10.1007/978-3-030-69265-0
ISBN:	9783030692650

Supply chain management in manufacturing and service systems = advanced analytics for smarter decisions /
Supply chain management in manufacturing and service systemsadvanced analytics for smarter decisions /[electronic resource] :edited by Sharan Srinivas, Suchithra Rajendran, Hans Ziegler. - Cham :Springer International Publishing :2021. - xviii, 278 p. :ill. (some col.), digital ;24 cm. - International series in operations research & management science,v.3040884-8289 ;. - International series in operations research & management science ;v.304..

An Overview of Decisions, Performance and Analytics in Supply Chain Management -- Intelligent Digital Supply Chains -- Product Life Cycle Optimization Model for Closed Loop Supply Chain Network Design -- Supply Chain Risk Management in Indian Manufacturing Industries: An Empirical Study and a Fuzzy Approach -- Improving Service Supply Chain of Internet Services by Analyzing Online Customer Reviews -- An Integrated Problem of Production Scheduling and Transportation in a Two-Stage Supply Chain with Carbon Emission Consideration -- A Simulation-Based Evaluation of Drone Integrated Delivery Strategies for Improving Pharmaceutical Service -- Pro-Active Strategies in Online Routing -- Prescriptive Analytics for Dynamic Real Time Scheduling of Diffusion Furnaces.

Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students.

ISBN: 9783030692650

Standard No.: 10.1007/978-3-030-69265-0doiSubjects--Topical Terms:

648045
Business logistics.

LC Class. No.: HD38.5 / .S83 2021

Dewey Class. No.: 658.7

Supply chain management in manufacturing and service systems = advanced analytics for smarter decisions /
LDR:03028nmm a2200337 a 4500 001 2244219
003 DE-He213
005 20210701193858.0
006 m d
007 cr nn 008maaau
008 211207s2021 sz s 0 eng d
020 $a 9783030692650 $q (electronic bk.)
020 $a 9783030692643 $q (paper)
024 7 $a 10.1007/978-3-030-69265-0 $2 doi
035 $a 978-3-030-69265-0
040 $a GP $c GP
041 0 $a eng
050 4 $a HD38.5 $b .S83 2021
072 7 $a KJMV8 $2 bicssc
072 7 $a BUS087000 $2 bisacsh
072 7 $a KJMV8 $2 thema
082 0 4 $a 658.7 $2 23
090 $a HD38.5 $b .S959 2021
245 0 0 $a Supply chain management in manufacturing and service systems $h [electronic resource] : $b advanced analytics for smarter decisions / $c edited by Sharan Srinivas, Suchithra Rajendran, Hans Ziegler.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xviii, 278 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 0884-8289 ; $v v.304
505 0 $a An Overview of Decisions, Performance and Analytics in Supply Chain Management -- Intelligent Digital Supply Chains -- Product Life Cycle Optimization Model for Closed Loop Supply Chain Network Design -- Supply Chain Risk Management in Indian Manufacturing Industries: An Empirical Study and a Fuzzy Approach -- Improving Service Supply Chain of Internet Services by Analyzing Online Customer Reviews -- An Integrated Problem of Production Scheduling and Transportation in a Two-Stage Supply Chain with Carbon Emission Consideration -- A Simulation-Based Evaluation of Drone Integrated Delivery Strategies for Improving Pharmaceutical Service -- Pro-Active Strategies in Online Routing -- Prescriptive Analytics for Dynamic Real Time Scheduling of Diffusion Furnaces.
520 $a Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students.
650 0 $a Business logistics. $3 648045
650 1 4 $a Supply Chain Management. $2 swd $3 1283588
650 2 4 $a Operations Research, Management Science. $3 1532996
650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Production. $3 2203137
650 2 4 $a Services. $3 2055617
700 1 $a Srinivas, Sharan. $3 2104588
700 1 $a Rajendran, Suchithra. $3 3504890
700 1 $a Ziegler, Hans. $3 3504891
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a International series in operations research & management science ; $v v.304. $3 3504892
856 4 0 $u https://doi.org/10.1007/978-3-030-69265-0
950 $a Business and Management (SpringerNature-41169)