To　deal　with　uncertain　dynamic　interferences　occurred　in　the　workshop,　and　meet　the　competition　requirements　of　jobs　submitted　by　different　customers,　a　dynamic　job-shop　scheduling　model　based　on　game　theory　is　presented.　hi　order　to　find　the　Nash　equilibrium　point　of　the　model　effectively,　dynamic　rescheduling　judgment　based　on　event-driven　policy　is　adopted,　and　a　hybrid　genetic　algorithm　is　designed.　The　case　study　is　carried　out　to　demonstrate　the　validity　of　above　dynamic　job-shop　scheduling　methods.