In　view　of　uncertainties　caused　by　sudden　accidents　(SAs)　and　affecting　retailers＇　demand　in　many　districts,　it　is　difficult　for　suppliers　to　determine　when　and　how　many　products　to　procure/produce.　Considering　a　supply　chain　consisting　of　two　types　of　competing　suppliers　and　multi-retailer,　this　work　studies　the　suppliers＇　optimal　emergency　procurement/production　decision　(EPD)　with　information　updating.　Firstly,　a　probability　evolution　model　with　information　updating　to　describe　the　probability　of　the　retailers＇　procurement　behaviour　and　the　occurrence　probability　of　supply　disruption　(SD)　is　inferred.　Secondly,　suppliers＇　EPDs　regarding　retailers＇　procurement　behaviour　and　occurrence　probability　of　SD　are　discussed　and　a　real-time　updated　emergency　decision-making　model　(EDM)　is　proposed　based　on　Stackelberg　game　and　Bayesian　inference.　Thirdly,　the　value　of　information　updating　and　the　critical　factors　that　affect　the　suppliers＇　optimal　EPD　are　quantitatively　analysed.　Numerical　examples　are　finally　provided　to　verify　the　EDM.　Results　indicate　that　information　is　the　premise　and　foundation　for　the　suppliers　to　deal　with　SA　effectively;　suppliers　can　easily　determine　when　and　how　many　products　to　procure/produce　based　on　the　proposed　EDM;　it　is　demonstrated　that　for　any　chosen　supplier　strategy,　there　exists　a　corresponding　optimal　procurement/production　quantity　for　the　suppliers　that　maximises　the　expected　profits.　Moreover,　the　suppliers＇　EPD　with　information　updating　is　affected　by　cost　parameters,　with　the　rank　of　information　collection　cost　coefficient,　unit　procurement/production　cost,　unit　sales　price,　unit　holding　cost　and　unit　shortage　cost,　from　apparently　to　slightly.