Supply chain analytics: (Record no. 7779)

MARC details
000 -LEADER
fixed length control field 02435nam a22001937a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241116152114.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241116b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032296067
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.7
Item number ROB
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Robertson, Peter W.
245 ## - TITLE STATEMENT
Title Supply chain analytics:
Remainder of title using data to optimise supply chain processes
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Routledge
Place of publication, distribution, etc. Oxan
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent xx, 298 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 1795.00
520 ## - SUMMARY, ETC.
Summary, etc. Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously.<br/><br/>Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks.<br/><br/>Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications.<br/><br/>Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.<br/><br/>(https://www.routledge.com/Supply-Chain-Analytics-Using-Data-to-Optimise-Supply-Chain-Processes/Robertson/p/book/9780367540067)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business logistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
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     Operations Management & Quantitative Techniques TB2248 28-10-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 11/16/2024 Technical Bureau India Pvt. Ltd. 1247.52   658.7 ROB 006410 11/16/2024 1 1247.52 11/16/2024 Book

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha