Supply chain analytics : concepts, techniques and applications

By:

Liu, Kurt Y

Material type: Text

TextPublication details: Switzerland: Palgrave Macmillan, c2022Description: xviii, 377pISBN:

9783030922238

Subject(s):

DDC classification:

658.5 LIU

Summary: This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Barcode
Book	International Management Institute New Delhi	658.5 LIU (Browse shelf(Opens below))	Available	21998

Browsing International Management Institute New Delhi shelves Close shelf browser (Hides shelf browser)

Previous			No cover image available					Next
Previous	658.5 DIG Digitization in supply chain management : trends, challenges and solutions	658.5 DIS Disrupting Logistics : Startups, Technologies, and Investors Building Future Supply Chains	658.5 JAI Supply chain 5.0 : the next generation of business success through customer centricity, sustainability & human rights and digitalization	658.5 LIU Supply chain analytics : concepts, techniques and applications	658.5 NUN Sustainable operations management : key practices and cases	658.5 REI Operations management : an integrated approach	658.5 RUS Operations and supply chain management	Next

Includes bibliographical references and index.

This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software.

There are no comments on this title.

to post a comment.