This　research　paper　addresses　the　energy-efficient　distributed　hybrid　flow-shop　scheduling　problem　with　forging　technology　(EEDHFSP-FT)　in　distributed　manufacturing.　A　mathematical　description　model　is　proposed　that　considers　the　characteristics　of　forging　production　and　aims　to　minimise　completion　time　and　energy　consumption.　The　model　incorporates　multi-resource　constraints　and　mixed　production　modes　while　introducing　an　energy-saving　strategy　based　on　the　analysis　of　residual　forging　heat.　An　elite　cooperative　non-dominated　sorting　genetic　algorithm　(ECNSGA)　is　developed　to　solve　the　scheduling　problem,　building　upon　the　NSGA-II　algorithm.　The　ECNSGA　utilises　two　hybrid　initialisation　rules　and　employs　elite　mutual　assistance　during　the　iterative　process　for　collaborative　optimisation.　The　effectiveness　of　the　proposed　model　and　algorithm　is　demonstrated　through　comparative　analyses　and　numerical　evaluations.　This　research　contributes　to　energy-efficient　scheduling　in　distributed　manufacturing　and　highlights　the　advantages　of　the　proposed　approach.