Big data analytics in supply chain management: (Record no. 4491)

MARC details
000 -LEADER
fixed length control field 02498nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230113180627.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230113b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367407179
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.7028557
Item number RAH
245 ## - TITLE STATEMENT
Title Big data analytics in supply chain management:
Remainder of title theory and applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boco Raton
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 194 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 150.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents<br/>Chapter 1. Big Data Analytics in Supply Chain Management: A Scientometric Analysis<br/><br/>Chapter 2. Supply Chain Analytics Technology for Big Data<br/><br/>Chapter 3. Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method<br/><br/>Chapter 4. Big Data in Procurement 4.0: Critical Success Factors and Solutions<br/><br/>Chapter 5. Recommendation Model based on Expiry Date of Product Using Big Data Analytics<br/><br/>Chapter 6. Comparing Company’s Performance To Its Peers: A Data Envelopment Approach<br/><br/>Chapter 7. Sustainability, Big Data, and Consumer Behavior: A Supply Chain Framework<br/><br/>Chapter 8. A Soft Computing Techniques Application of An Inventory Model in Solving Two-Warehouses Using Cuckoo Search Algorithm<br/><br/>Chapter 9. An Overview of the Internet of Things Technologies Focuses on Disaster Response<br/><br/>Chapter 10. Closing the Big Data Talent Gap
520 ## - SUMMARY, ETC.
Summary, etc. In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations.<br/><br/>From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research.<br/><br/>Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business logistics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Rahimi, Iman
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gandomi, Amir H.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Fong, Simon James
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences 575/22-23 30-12-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/13/2023 T V Enterprises 9872.36   658.7028557 RAH 004205 01/13/2023 1 15015.00 01/13/2023 Book

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