Predicting supply chain performance using advanced machine learning (Record no. 62264)

MARC details
000 -LEADER
fixed length control field 00958nam a22002057a 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4038
Author Mark FAI
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Faizan Tahir Farooqi, Muhammad (65133)
245 ## - TITLE STATEMENT
Title Predicting supply chain performance using advanced machine learning
Sub Title an emperical analysis of key operational drivers
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Islamabad
Name of publisher (unpublished)
Date of publication 2026
300 ## - PHYSICAL DESCRIPTION
Extent 115 p.
Illustrations : ill.
Dimensions ; 30 cm.
Accompanying material +CD
500 ## - GENERAL NOTE
General note Submitted in fulfilment of the requirements for the degree of Master of Science in Business Analytics to the Faculty of Management Sciences.
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General note Includes bibliographical references and appendix
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General note Thesis supervisor: Mudassar Naseem
502 ## - DISSERTATION NOTE
Dissertation note Thesis (MS)--Riphah International University, 2026
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Bussiness analytics
Keywords Supply chain preformance
-- Supply chain integration
-- Risk management
-- Predictive analysis
-- FMS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Source of acquisition Full call number Barcode Copy number Koha item type
  Al-Mizan Campus Al-Mizan Campus Riphah International University 658.4038 FAI 101061 1 Thesis
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