The　Fourth　Industrial　Revolution　we　are　experiencing　currently　is　reshaping　the　world　by　facilitating　factories　with　intelligence　and　significantly　improved　manufacturing　efficiency　and　flexibility.　Among　the　key　technologies　to　achieve　Industrie　4.0,　industrial　wireless　networking　enables　convenient　and　reliable　connections　among　the　machines,　network　devices,　cloud　servers　and　humans　for　both　delay-sensitive　traffic　and　delay-tolerant　data　delivery.　In　this　paper,　the　Cognitive　radio　and　Edge　computing　based　Industrial　wireless　Network　(CEIN)　is　introduced.　In　CEIN,　edge　computing　handles　the　processing　requirements　of　the　data　during　its　transmission,　and　is　deployed　close　to　the　machines　for　immediate　response　to　delay-sensitive　industrial　data　that　requires　real-time　processing.　Cognitive　radio　technologies　are　also　adopted　to　ensure　efficient　spectrum　resource　utilization　for　big　delay-tolerant　data　transmission　that　contributes　mostly　to　the　industrial　data　traffic.　Besides,　we　propose　an　optimal　networking　and　computing　resource　management　scheme　for　CEIN.　The　harvested　spectrum　bands　are　allocated　to　the　network　devices　taking　into　account　of　the　computing　requirements　of　industrial　data.　Stochastic　optimization　is　adopted　to　find　the　optimal　allocation　actions　with　low　online　computational　complexity.　Extensive　simulation　results　are　also　presented　to　demonstrate　the　significant　system　performance　improvement.