Hybrid　flow　shop　(HFS),　as　a　production　organization　mode　with　characteristics　of　high　flexibility,　low　cost　and　quick　replacement　job,　has　attracted　extensive　attention　of　research　units　and　enterprises.　In　order　to　resolve　the　complex　HFS　scheduling　optimization　problem,　an　improved　immune　scheduling　algorithm　(ISA)　model　is　proposed　in　this　paper.　A　local　search　optimization　algorithm,which　can　optimize　the　scheduling　instance,　accelerate　the　convergence　of　ISA,　and　improve　scheduling　results　eventually,　is　adopted　in　the　model　on　the　basis　of　the　job　insert　method.　The　results　which　simulate　the　manufacturing　model　of　a　camshaft　enterprise　show　that　the　improved　algorithm　model　is　effective.