A　production　workshop　is　equipped　with　diverse　equipment　and　machinery,　and　manufacturing　data　generated　by　different　equipment　show　certain　differences.　Therefore,　developing　a　method　with　an　information　presentation　capability　for　a　digital　twin　workshop　system　(DTWS)　can　be　challenging　due　to　the　numerous　information　sources　and　types.　The　level　of　detail　provided　for　a　DTWS　is　directly　related　to　the　management　comprehension　of　the　production　status　of　a　physical　workshop.　Thus,　arranging　and　presenting　different　data　effectively　represents　a　significant　challenge.　To　address　this　challenge,　this　study　proposes　an　equipment　information　self-reflection　method　with　expandability　for　DTWSs.　First,　a　generic　equipment　information　model　with　an　expandability　is　developed.　This　model　encompasses　all　relevant　data　types　in　a　workshop.　The　analysis　of　these　data　is　conducted　from　two　perspectives:　workshop　equipment　categorization　and　equipment　internal　composition.　The　analysis　results　are　used　for　the　generation　of　extensible　styles　for　property　elements　and　function　components.　For　the　DTWSs,　these　two　perspectives　offer　a　standardized　specification　for　equipment　information　presentation.　In　addition,　a　self-reflection　method　is　introduced　to　address　the　demand　for　generating　diverse　information　types　ranging　from　equipment-based　to　extensible　types.　The　system　framework　and　operational　flow　of　this　method　are　explained　in　detail.　To　verify　the　proposed　method,　this　paper　conducts　a　practical　case　study　using　the　DTWorks　software　development　kit　to　simulate　a　real　workshop.　The　proposed　self-reflection　method　is　implemented　into　the　DTWorks.　The　disparities　in　equipment　information　types　are　analyzed　for　both　pre-　and　post-implementation　of　the　proposed　method.　The　obtained　results　demonstrate　the　efficiency　and　advantages　of　the　proposed　self-reflection　method.　Finally,　the　results　show　that　the　proposed　method　exhibits　advantageous　performance　regarding　intricate　business　contexts.　©　2024　Elsevier　Ltd