Operations　&　maintenance　management　is　a　cost　effective　approach　to　ensuring　reliable　and　safe　way　to　control　and　maintain　wind　farms.　An　essential　objective　is　to　improve　the　revenue　level　by　balancing　the　increase　of　power　generation　and　the　reduction　of　operational　costs.　Despite　prominent　research　advancements　in　wind　farm　operations　&　maintenance,　no　attempts　have　successfully　integrated　diverse　impacts　of　wind　conditions　and　resource　constraints　into　the　decision-making　process.　This　paper　develops　a　new　framework　by　incorporating:　(1)　both　positive　(maintenance　opportunity)　and　negative　(maintenance　delay)　impacts　of　wind　conditions,　and　(2)　production　losses　during　downtime　due　to　resource　constraints.　A　wind-centered　maintenance　policy　integrating　multiple　maintenance　opportunities　is　designed.　Furthermore,　a　two-level　resource　scheduling　problem　with　constraints　in　both　repairmen　and　maintenance　teams　is　solved　using　a　combination　of　the　Multifit　algorithm　and　a　heuristic　algorithm.　The　net　revenue　is　evaluated　using　the　performance-contracting　and　optimized　via　the　artificial　bee　colony　algorithm.　The　applicability　of　the　framework　is　demonstrated　by　a　case　study　from　an　onshore　wind　farm　in　Ontario.　Experimental　findings　illustrate　that:　(1)　wind-centered　opportunistic　maintenance　can　effectively　improve　system　revenue,　and　(2)　the　proposed　framework　shows　a　better　performance　when　facing　resource　shortages　or　maintenance　delays.