Structural　dependency,　as　widely　existed　in　complex　engineering　equipment,　refers　to　the　structural　intervention　between　components　so　that　replacing　a　component　requires　the　removal　of　others　on　its　disassembly　path.　Naturally,　it　is　cost-efficient　to　cluster　maintenance　jobs　to　share　disassembly　time　and　reduce　system　downtime.　However,　maintenance　management　by　particularly　considering　the　disassembly　structure　is　rarely　reported　in　the　literature.　To　address　such　deficiency,　we　propose　an　innovative　dependency-specific　maintenance　policy,　which　realizes　the　global　union　of　＂static＂　scheduled　block　maintenance　(SBM)　and　＂dynamic＂　opportunistic　maintenance　(OM).　SBM　coordinates　preventive　maintenance　jobs　in　conjunction,　which　forms　the　basic　policy　framework.　OM　decides　which　components　are　opportunistically　replaced　in　case　of　failure,　which　fine-tunes　the　framework　to　further　exploit　the　dependency.　Motivated　by　the　fractal　nature　of　disassembly　structure,　we　develop　a　dynamic-programming-based　optimization　approach,　which　enables:　1)　the　joint　optimization　of　model　parameters　in　a　sequential　manner,　and　2)　an　efficient　optimization　applicable　to　large-scale　equipment.　We　demonstrate　the　model　through　a　case　study　in　the　maintenance　management　of　high-speed　train　bogies.　The　results　show　that　the　proposed　policy　significantly　promotes　system　availability　by　coordinating　replacement　intervals　within　the　same　disassembly　subtree,　and　effectively　reducing　downtime　by　integrating　SBM　with　OM.