Quality　Function　Deployment　(QFD)　is　a　systematic　approach　that　captures　customer　requirements　and　translates　them,　through　House　of　Quality　(HOQ),　into　technology　characteristics　of　the　product.　QFD　is　an　available　tool　to　develop　the　new　product.　In　this　paper,　we　use　QFD　to　determine　the　key　technology　of　new　product　plan　and　design.　We　firstly　use　the　Analytical　Hierarchy　Process　(AHP)　to　determine　the　importance　of　the　customer　requirements.　Then,　as　the　relationships　of　customer　requirements　and　technical　requirements,　technical　requirements　and　part　characteristics　in　QFD　are　uncertain,　nonlinear　and　fuzzy,　BP　Neural　Network　to　determine　these　relationships　for　QFD　is　presented,　and　establishes　a　QFD　product　planning　model　and　a　QFD　part　deployment　model　both　based　on　BP　Artificial　Neural　Network.　We　put　the　importance　of　the　customer　requirements　into　the　two　QFD　model,　and　obtain　the　importance　of　the　part　characteristics,　and　then　determine　the　key　technology.　Finally,　a　case　study　of　new　product　development　is　provided　to　illustrate　the　application　of　the　presented　method.　©　2008　IEEE.