01105nam a22002177a 450000500170000004000360001708200180005310000430007124501220011426000350023630000340027150001450030550000530045050000390050350200550054254600120059765001190060994200070072895201350073599900170087020260604091140.0  cRiphah International University  a658.4038bFAI  aFaizan Tahir Farooqi, Muhammad (65133)  aPredicting supply chain performance using advanced machine learningban emperical analysis of key operational drivers  aIslamabadb(unpublished)c2026  a115 p.b: ill.c; 30 cm.e+CD  aSubmitted in fulfilment of the requirements for the degree of Master of Science in Business Analytics to the Faculty of Management Sciences.  aIncludes bibliographical references and appendix  aThesis supervisor: Mudassar Naseem  aThesis (MS)--Riphah International University, 2026  aEnglish  aBussiness analyticsvSupply chain preformancevSupply chain integrationvRisk managementvPredictive analysisvFMS  cTH  00104070aIMCbIMCd2026-05-20eRiphah International Universityl0o658.4038 FAIp101061r2026-05-20 14:08:18t1w2026-05-20yTH  c62264d62264