Providing A Hybrid Model To Control And Evaluate Time Uncertainty In Dynamic Supply Networks Of Oil Companies

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Mehdi Safaei

Abstract

Deliveryispeediandiaccuracyiinidynamicisupplyinetworksi(SNs)iareitheimainichallengesiaheadiofimanagersidueitoitheishort-timeinatureiofiit.i


Therefore,iuncertainty,icouldn’tibeiignored.iNetworkistructureiandirelevanticomplexitiesiareioneiofitheimainifactorsiofiuncertaintyiiniSNs.iMeasuringitheiuncertaintyiinitheinetworkiregardingitoitheseicausesiisioneiofitheiissuesicoveredibyithisistudy.iOnitheiotherihand,iitiisiindispensableitoiidentifyisuppliersiwithitheihighesticontributionitoitheiuncertaintyiiniorderitoibeiableitoiimproveinetworkiperformance.iTherefore,iinithisistudyiaihybridimethodologyiisipresenteditoisolveiandicoveritheseigaps.iWhichiisicreatedibyitheicombinationiofithreeiadaptedimethods.iToishowitheiapplicability,iitiappliediinithreeiscenariositoiaccumulateitheiDTUiofitheinetwork.


Finally,itheivalidationiofithisimethodologyiisiperformedibyithei10-fold cross validation. The results proved the ability, highest accuracy and speed.

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