thys­sen­krupp, one of the first mem­bers of the user asso­cia­ti­on, has imple­men­ted the first use case for Indus­tri­al Data Space with an infor­ma­ti­on sys­tem for truck logistics. The tar­get: To opti­mi­se the loa­ding and unloa­ding times of trucks and adapt them fle­xi­b­ly to trans­port rou­tes and traf­fic dis­rup­ti­ons. Ano­t­her mile­stone has been reached with this first use case that has resul­ted in a prac­ti­cal app­li­ca­ti­on, pro­ving that Indus­tri­al Data Space can work well as part of a company’s dai­ly rou­ti­ne.

thys­sen­krupp Steel Euro­pe hand­les rough­ly 20,000 trucks per month. With around 30 minu­tes avail­ab­le to load and unload each truck, any delays in arri­val can quick­ly throw the ent­i­re sche­du­le into dis­ar­ray. The com­pa­ny aims at achie­ving grea­ter fle­xi­bi­li­ty with Indus­tri­al Data Space. They have intro­du­ced a solu­ti­on that enab­les trucks en rou­te to the com­pa­ny to con­ti­nuous­ly report their posi­ti­on in line with defi­ned rules, for examp­le using an app that dri­vers can down­load to their smart­pho­ne. Based on posi­tio­nal and traf­fic data and the rou­tes the dri­ver is likely to take, an algo­rithm imme­dia­te­ly reco­gni­zes any hol­dups and the com­pu­ter sys­tem then auto­ma­ti­cal­ly sug­gests a new loa­ding slot for the delay­ed truck wit­hout any human invol­ve­ment.
“Our app­li­ca­ti­on is only a first examp­le of what can be achie­ved with Indus­tri­al Data Space. The­re are more app­li­ca­ti­ons to come from other com­pa­nies and that will hap­pen rather quick­ly", says Dr. Rein­hold Achatz, Chief Tech­no­lo­gy Offi­cer at thys­sen­krupp and Chair­man of the Indus­tri­al Data Space Asso­cia­ti­on