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