The　unknownness　of　the　working　factor　path,　the　uncertainty　of　time　and　the　isolation　of　production　factor　information　in　the　parts　manufacturing　workshop　seriously　affect　the　effective　operation　of　the　shop　scheduling.　Based　on　the　digital　twinning　technology,　a　new　method　to　solve　the　problem　of　intelligent　manufacturing　workshop　scheduling　was　proposed.　The　framework　model　and　scheduling　workflow　of　the　scheduling　cloud　platform　was　constructed.　Then　the　whole　lifecycle　monitoring　system　of　the　scheduling　cloud　platform　was　built　for　monitoring　the　real-time　running　status　of　the　product.　Based　on　the　real-time　monitoring　data　of　the　whole　life　cycle　monitoring　system,　the　big　data　analysis　technology　was　used　to　predict　and　diagnose　the　multi-source　dynamic　disturbance　in　the　workshop　production　process,　on　the　basis　of　which　the　scheduling　cloud　platform　dynamically　determined　the　dynamic　disturbance　Perturbation　strategy.　The　intelligent　manufacturing　workshop　of　an　enterprise　was　taken　as　an　example　to　verify　the　application　of　the　dispatching　cloud　platform　model,　and　the　future　working　direction　of　the　intelligent　manufacturing　workshop　based　on　digital　twins　was　also　pointed　out　at　the　same　time.　©　2019,　Editorial　Department　of　CIMS.　All　right　reserved.