Online　recycling　has　become　an　increasingly　popular　research　hotspot.　However,　few　studies　have　focused　on　its　potential　service　functions　such　as　online　promotion　and　offline　recycling.　In　this　study,　considering　such　service　functions,　four　models,　namely,　the　manufacturer　recycling　channel　(Model　A),　recycler　recycling　channel　(Model　B),　online　channel　recycling　(Model　C)　and　manufacturer＇s　self-built　platform　+　recycling　channel　(Model　D),　are　established,　and　derived　the　corresponding　profit　func-tions　of　supply　chain　members.　Game　theory　was　utilized　to　optimize　service　quality　control　strategies　and　supply　chain　member　profits　within　the　different　models.　Using　numerical　simulation,　we　examined　the　influence　of　both　the　upper　recycling　incentive　limit　and　market　demand　on　the　optimal　recycling　channel　strategies　and　profits.　When　the　upper　limit　of　the　recovery　incentive　amount　lambda　=　(0,　3),　the　actual　price　and　service　quality　to　consumers　under　the　manufacturer＇s　self-built　platform　+　recycling　channel　(Model　D)　are　better　than　other　channels,　and　the　optimal　manufacturer　and　online　platform　profits　initially　increased　and　then　decreased　with　increases　in　the　recycling　incentive　upper　limit.　We　also　found　that　the　optimal　recycler　profit　increased　as　the　upper　limit　of　the　recycling　incentive　increased,　and　that　optimal　supply　chain　member　profits　increased　when　market　size　D-0　is　an　element　of　(0,　100).　(C)　2021　Elsevier　Ltd.　All　rights　reserved.