With　advanced　digital　technologies　as　the　key　support,　many　scholars　and　researchers　have　proposed　various　random　warranty　models　by　integrating　mission　cycles　into　the　warranty　stage.　However,　these　existing　warranty　models　are　designed　only　from　the　manufacturer＇s　subjective　perspective,　ignoring　certain　consumer　requirements.　For　instance,　they　overlook　a　wide　range　of　warranty　coverage,　the　pursuit　of　reliability　improvement　rather　than　mere　minimal　repair,　and　the　need　to　limit　the　delay　in　repair.　To　address　these　consumer　requirements,　this　paper　proposes　a　novel　random　collaborative　preventive　maintenance　warranty　with　repair-time　threshold　(RCPMW-RTT).　This　model　incorporates　terms　that　are　jointly　designed　by　manufacturers　and　consumers　to　meet　specific　consumer　needs,　thereby　overcoming　the　limitations　of　existing　warranty　models.　The　introduction　of　a　repair-time　threshold　aims　to　limit　the　time　delay　in　repairing　failures　and　to　compensate　for　any　losses　incurred　by　consumers.　Using　probability　theory,　the　RCPMW-RTT　is　evaluated　in　terms　of　cost　and　time,　and　relevant　variants　are　derived　by　analyzing　key　parameters.　As　an　exemplary　representation　of　the　RCPMW-RTT,　two　random　replacement　policies　named　the　discrete　random　renewable　back　replacement　(DRRBR)　and　the　discrete　random　renewable　front　replacement　(DRRFR)　are　proposed　and　modelled　to　ensure　reliability　after　the　expiration　of　the　RCPMW-RTT.　In　both　policies,　product　replacement　is　triggered　either　by　the　occurrence　of　the　first　extreme　mission　cycle　or　by　reaching　the　limit　on　the　number　of　non-extreme　mission　cycles,　whichever　comes　first.　Probability　theory　is　used　to　present　cost　rates　for　both　policies　in　order　to　determine　optimal　values　for　decision　variables.　Finally,　numerical　analysis　is　performed　on　the　RCPMW-RTT　to　reveal　hidden　variation　tendencies　and　mechanisms;　numerical　analysis　is　also　performed　on　the　DRRBR　and　the　DRRFR.　The　numerical　results　show　that　the　proposed　random　replacement　policies　are　feasible　and　unique;　the　replacement　time　within　the　post-warranty　coverage　increases　as　the　maintenance　quality　improves　and　the　cost　rate　can　be　reduced　by　setting　a　smaller　repair-time　threshold.