In　view　of　the　excessive　subjectivity　in　most　existing　methods　due　to　a　priori　assignment　of　common　platform　parameters　by　designers　during　the　design　process　of　scale-based　platform,　a　planning　method　for　product　platform　based　on　axiomatic　design　and　Sensitivity　Design　Structure　Matrix(SDSM)　was　developed.　The　mathematical　model　for　design　parameters　satisfying　common　platform　parameters　was　deduced　according　to　axiomatic　design.　SDSM　which　could　describe　the　dynamic　sensitivity　relationships　among　design　parameters　and　that　between　design　parameters　and　functional　requirements　was　established　on　the　basis　of　design　structure　matrix.　Then,　common　platform　parameters　were　identified　with　scalable　platform　parameters　according　to　SDSM,　followed　on　with　the　optimization　of　their　optimum　solutions　with　non-dominated　sorting　genetic　algorithm.　Finally,　an　example　of　automatic　bookbinding　machine　platform　design　verified　the　effectiveness　of　the　proposed　method.