This　paper　considers　the　estimation　of　a　semiparametric　isotonic　regression　model　when　the　covariates　are　measured　with　additive　errors　and　the　response　is　randomly　right　censored　by　a　censoring　time.　The　authors　show　that　the　proposed　estimator　of　the　regression　parameter　is　rootn　consistent　and　asymptotically　normal.　The　authors　also　show　that　the　isotonic　estimator　of　the　functional　component,　at　a　fixed　point,　is　cubic　root-n　consistent　and　converges　in　distribution　to　the　slope　at　zero　of　the　greatest　convex　minorant　of　the　sum　of　a　two-sided　standard　Brownian　motion　and　the　square　of　the　time　parameter.　A　simulation　study　is　carried　out　to　investigate　the　performance　of　the　estimators　proposed　in　this　article.