Popularizing　green　distribution　transformers　is　a　viable　way　to　reduce　power　loss　and　environmental　pollution　and　improve　energy　conversion　and　transmission　efficiency,　which　has　become　the　trend　of　power　equipment　manufacturing　and　market　demand.　However,　due　to　conflicting　multi-criteria　and　goals　and　factors,　higher　standards　are　required　for　green　distribution　transformer　manufacturing.　High　standard　manufacturing　makes　many　manufacturers　shoddy　the　internal　components　of　green　distribution　transformers,　resulting　in　disorderly　competition　in　the　market,　which　poses　great　challenges　to　the　users＇　choice　of　transformers　and　the　government＇s　quality　supervision.　This　paper　proposes　a　cloud-based　q-rung　orthopair　fuzzy　multi-criteria　framework　for　assessing　the　green　distribution　transformer　manufacturing　process　from　the　perspective　of　conflicting　relationships　between　criteria.　It　is　applied　to　rank　order　four　green　transformer　manufacturers　in　China　based　on　the　twelve　mono-criteria　under　four　categories　of　resource　and　energy　utilization,　production　process　and　equipment,　environmental　coordination,　green　technology　innovation,　and　their　overall　performance　ranking　results.　Our　analysis　revealed　that　resource　and　energy　utilization　and　green　technology　innovation　is　the　motivating　factors　to　improve　the　quality　of　green　distribution　transformer　manufacturing　and　expert　recognition,　and　the　production　process　and　equipment　and　environmental　coordination　are　the　inducing　factors　that　reduce　the　quality　of　green　distribution　transformer　manufacturing　and　the　recognition　of　experts.　These　findings　provide　the　demanders　and　government　quality　inspection　departments　with　guidelines　on　the　selection　and　evaluation　of　green　distribution　transformers,　also　identify　the　direction　for　the　manufacturers　to　improve　the　technology　and　optimize　the　production　of　green　distribution　transformers.