Aiming　at　the　increasing　demand　for　multiple　varieties　and　small　batches　of　forging　products，as　well　as　the　need　for　green　production，an　energy-saving　scheduling　method　for　collaborative　production　of　mixed　line　free　forging　was　proposed．The　optimization　objective　was　to　minimize　the　maximum　completion　time　and　energy　consumption．The　forging　temperature　and　the　maximum　transportation　quality　of　transportation　vehicles　were　key　constraints　for　scheduling．　A　multi-objective　energy-saving　optimization　mathematical　model　for　mixed　line　collaborative　production　considering　forging　temperature　was　established．Combining　the　mathematical　model　and　adapting　the　non-dominated　sorting　genetic　algorithm　(NSGA-Ⅱ)，the　optimized　production　time，energy　consumption，and　transportation　times　were　obtained．Compared　to　traditional　non　collaborative　production　scheduling　methods，energy　saving　scheduling　for　mixed　line　collaborative　production　can　reduce　the　scheduling　time　by　about　20%，energy　consumption　by　about　40%，and　transportation　times　by　60%，which　validates　the　effectiveness　of　mixed　line　collaborative　energy-saving　production　scheduling.　©　2024　Huazhong　University　of　Science　and　Technology.　All　rights　reserved.