With　the　breaking　down　of　information　barriers　between　energy　flow　with　manufacturing　flow,　the　coordination　between　them　is　an　effective　way　to　relieve　the　dual　pressure　from　energy　and　environment　industrial　integrated　energy　system.　The　authors　develop　a　scenario-based　coordination　model　for　energy　flow　and　manufacturing　flow　to　make　full　use　of　the　flexibilities　of　energy　supply　and　production　process　to　reduce　energy　cost.　To　capture　the　flexibility　in　the　energy　flow,　the　authors　enhance　an　electricity-steam-product　gas–gas　storage　coupling　energy　flow　model　considering　multi-uncertainties.　The　authors　also　develop　a　batch　process　model　to　formulate　the　flexibility　in　the　production　process.　Based　on　the　batch　energy　consumption　constraints,　the　energy　flow　model　and　the　batch　process　model　are　integrated　as　a　coordination　model.　To　ensure　the　feasibility　of　hard　budget　constraints　under　all　possible　random　realisations,　we　add　all-scenario-feasibility　robust　constraints　which　are　infinite-dimensional　constraints　into　the　model.　To　solve　the　model,　a　vertex　scenario　set　based　on　the　characteristics　of　convex　optimisation　is　constructed　to　equivalently　convert　infinite-dimensional　constraints　to　finite-dimensional　constraints.　In　this　way,　the　coordination　model　is　transformed　to　a　mixed　integer　linear　programming　and　can　be　solved　using　CPLEX.　Finally,　numerical　test　based　on　a　real　iron　and　steel　plant　is　analysed.　The　results　show　that　coordination　between　energy　with　manufacturing　flow　is　effective　to　reduce　the　energy　cost　and　carbon　emission.　Compare　with　only　optimising　energy　flow,　the　coordination　model　can　reduce　total　cost　about　221.6　thousand　RMB　and　304.44t　coal　every day.　©　2022　The　Authors.　IET　Generation,　Transmission　&　Distribution　published　by　John　Wiley　&　Sons　Ltd　on　behalf　of　The　Institution　of　Engineering　and　Technology.