國立高雄大學圖資館 |

Language: English

Back

Industry 4.0 technologiessustainable manufacturing supply chains.Volume 1,Theory, challenges, and opportunity /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Industry 4.0 technologiesedited by K E K Vimal ... [et al.].
Reminder of title:	sustainable manufacturing supply chains.
remainder title:	Theory, challenges, and opportunity
other author:	Vimal, K E K.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xii, 188 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Business logistics.
Online resource:	https://doi.org/10.1007/978-981-99-4819-2
ISBN:	9789819948192$q(electronic bk.)

Industry 4.0 technologiessustainable manufacturing supply chains.Volume 1,Theory, challenges, and opportunity /
Industry 4.0 technologiessustainable manufacturing supply chains.Volume 1,Theory, challenges, and opportunity /[electronic resource] :Theory, challenges, and opportunityedited by K E K Vimal ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xii, 188 p. :ill., digital ;24 cm. - Environmental footprints and eco-design of products and processes,2345-766X. - Environmental footprints and eco-design of products and processes..

Digital supply chain paradigm -- Supply Chain Decision Making using Artificial Intelligence and Data Analytics -- Using Blockchain for agro-food traceability: A case study from olive oil industry -- Logistics 4.0 for Sustainable Manufacturing Supply Chain -- Industry 4.0 in Resource Efficient and Cleaner Production: A case study from the food sector in Jordan -- Applications of Machine Learning in Supply Chain Management- A Review.

This book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.

ISBN: 9789819948192$q(electronic bk.)

Standard No.: 10.1007/978-981-99-4819-2doiSubjects--Topical Terms:

199351
Business logistics.

LC Class. No.: HD38.5 / .I54 2024

Dewey Class. No.: 658.5

Industry 4.0 technologiessustainable manufacturing supply chains.Volume 1,Theory, challenges, and opportunity /
LDR:02468nmm a2200349 a 4500 001 660776
003 DE-He213
005 20230930095804.0
006 m d
007 cr nn 008maaau
008 241106s2024 si s 0 eng d
020 $a 9789819948192$q(electronic bk.)
020 $a 9789819948185$q(paper)
024 7 $a 10.1007/978-981-99-4819-2 $2 doi
035 $a 978-981-99-4819-2
040 $a GP $c GP
041 0 $a eng
050 4 $a HD38.5 $b .I54 2024
072 7 $a TGP $2 bicssc
072 7 $a TEC009060 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 658.5 $2 23
090 $a HD38.5 $b .I42 2024
245 0 0 $a Industry 4.0 technologies $h [electronic resource] : $b sustainable manufacturing supply chains. $n Volume 1, $p Theory, challenges, and opportunity / $c edited by K E K Vimal ... [et al.].
246 3 0 $a Theory, challenges, and opportunity
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xii, 188 p. : $b ill., digital ; $c 24 cm.
490 1 $a Environmental footprints and eco-design of products and processes, $x 2345-766X
505 0 $a Digital supply chain paradigm -- Supply Chain Decision Making using Artificial Intelligence and Data Analytics -- Using Blockchain for agro-food traceability: A case study from olive oil industry -- Logistics 4.0 for Sustainable Manufacturing Supply Chain -- Industry 4.0 in Resource Efficient and Cleaner Production: A case study from the food sector in Jordan -- Applications of Machine Learning in Supply Chain Management- A Review.
520 $a This book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.
650 0 $a Business logistics. $3 199351
650 0 $a Industry 4.0. $3 884221
650 1 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Supply Chain Management. $3 737140
650 2 4 $a Sustainability. $3 376755
650 2 4 $a Blockchain. $3 918895
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Internet of Things. $3 913131
700 1 $a Vimal, K E K. $3 972089
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Environmental footprints and eco-design of products and processes. $3 712916
856 4 0 $u https://doi.org/10.1007/978-981-99-4819-2
950 $a Engineering (SpringerNature-11647)