Supply chain 4.0: improving supply chains with analytics and industry 4.0 technologies

By:

Aktas, Emel

Contributor(s):

Material type: Text

TextPublication details: Kogan Page Ltd. London 2021Description: xxvi, 281 pISBN:

9781789660739

Subject(s):

DDC classification:

658.5 AKT

Summary: About the book Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots. Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes. This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.

List(s) this item appears in: Operation & quantitative Techniques | Public Policy & General Management

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.5 AKT (Browse shelf(Opens below))	1	Available		003696

Table of contents
Chapter - 01: Supply Chain 4.0: enabling market-driven strategies [Martin Christopher];Chapter - 02: Driving better customer experience in digital supply chains [Patrick Strauss];Chapter - 03: Blockchain in the supply chain [Martyn Walker];Chapter - 04: Blockchain for humanitarian supply chain [Rameshwar Dubey, Angappa Gunasekaram, Stephen J. Childe, Benjamin T. Hazen and Thanos Papadopoulos];Chapter - 05: Supply Chain 4.0: the cyber-security challenge [James Kench];Chapter - 06: Defining and testing system parameters for enhancing vision picking technology in warehouse operations [Anastasios Gialos and Vasileios Zeimpekis];Chapter - 07: Collaborative robotics – transforming warehouse logistics [Markus Voss];Chapter - 08: Improving cold-food quality control through the Internet of Things and big data: an empirical case [Alexandre Luis Prim, Tiago Pedro Nicchellatti and Roberto Goularth Mendes];Chapter - 09: Predicting physical distribution delays: a case study of outbound logistics [Zina Ben Miled, Jeremy Archbold and Brooke Renee Cochenour];Chapter - 10: Adopting Industry 4.0 technologies in agri-food supply chains: an exploratory investigation of drivers and barriers [Imran Ali, Sattar Satie and Vinh Thai];Chapter - 11: The impact of sharing economy incentives and Industry 4.0 technologies on humanitarian logistics: insights from the Iran floods of 2019 [Hamed Seddighi and Hamid Moradlou];Chapter - 12: In search of a human dimension of Supply Chain 4.0: stipulating learning as a lever for the future supply chain organization [Henning de Haas, John Bang Mathiasen, Søren Skjold Andersen and Torben Tambo]

About the book
Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots.

Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes.

This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.

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