Traditional　manufacturing　enterprises　cannot　adjust　their　production　line　structure　in　the　short　term.　They　face　significant　challenges　in　adapting　to　the　rapidly　changing　market　environment　and　meeting　various　variable　batch　production　requirements.　Building　a　suitable　and　convenient　multi-layer　planning　and　scheduling　model　is　an　important　goal　to　solve　the　efficient　operation　of　manufacturing　enterprises.　This　paper　proposes　a　planning　and　scheduling　design　that　meets　the　needs　of　enterprise　and　the　production　workshop　using　the　APERT-VC　model　through　a　top-down　design　methodology.　APERT　is　an　enterprise-level　plan　that　uses　attention　mechanisms　to　collect　job　plan　time　and　decomposes　project　plans　into　workshop　plans　through　PERT　technology.　virtual　command　is　workshop　level　plan　management,　which　converts　workshop　plans　into　time　series　vectors　and　achieves　rapid　and　comprehensive　guidance　of　workshop　resource　planning　for　enterprises　through　multiple　classification　and　decision-making.　Through　experiments,　the　algorithm　achieved　production　scheduling　accuracy　improvement　of　over　30%　compared　to　previous　algorithms　and　a　decision　accuracy　rate　of　over　90%.　The　first　half　of　the　new　model　solves　the　problem　of　collecting　work　time　for　multi　variety　and　variable　batch　products,　and　improves　the　accuracy　of　algorithm　input.　The　second　half　of　the　new　algorithm　innovatively　combines　image　recognition　technology　with　dispatcher　behavior,　achieving　efficient　simulation　results.