In　automated　manufacturing　systems,　resource　failures　are　often　inevitable.　They　reduce　the　number　of　available　resources　and　may　cause　some　processing　routes　of　parts　to　halt　and　sometimes　the　whole　system　to　shutdown.　This　article　focuses　on　the　robust　deadlock　control　problem　in　automated　manufacturing　systems　with　multiple　resource　failures.　To　obtain　such　a　robust　controller,　we　first　put　forward　a　new　concept　of　blocked　states　of　automated　manufacturing　systems.　From　such　a　state,　the　production　of　some　part　types　through　one　of　their　routes　is　blocked　as　caused　by　resource　failures,　and　only　after　some　failed　resources　are　repaired,　these　parts　can　resume　their　normal　processing.　Then,　these　blocked　states　are　characterized　in　terms　of　emptied　siphons　caused　by　resource　failures.　In　order　to　prevent　the　system　from　deadlocks　and　blocked　states,　a　robust　controller　is　proposed　by　the　following　two　steps.　First,　for　siphons　without　unreliable　resources,　optimal　deadlock　control　places　are　added.　Then　for　siphons　which　contain　unreliable　resources,　new　control　places　are　devised　to　ensure　that　they　could　be　marked　even　when　resource　failures　happen.　It　is　proved　that　the　proposed　controller　can　guarantee　that　all　types　of　parts　can　be　processed　repeatedly　as　long　as　one　unit　of　unreliable　resources　can　still　work.　This　means　that　the　proposed　controller　is　of　greatest　robustness,　that　is,　it　can　tolerate　a　maximum　number　of　resource　failures.　Some　examples　are　provided　to　illustrate　the　proposed　method　and　show　the　advantage　over　the　previous　ones.