Predicting supply chain performance using advanced machine learning an emperical analysis of key operational drivers
Material type:
TextPublication details: Islamabad (unpublished) 2026Description: 115 p. : ill. ; 30 cm. +CDSubject(s): DDC classification: - 658.4038 FAI
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis
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Al-Mizan Campus | 658.4038 FAI (Browse shelf(Opens below)) | 1 | Not for loan | 101061 |
Submitted in fulfilment of the requirements for the degree of Master of Science in Business Analytics to the Faculty of Management Sciences.
Includes bibliographical references and appendix
Thesis supervisor: Mudassar Naseem
Thesis (MS)--Riphah International University, 2026
English
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