{"id":1633,"date":"2020-11-29T21:42:18","date_gmt":"2020-11-29T20:42:18","guid":{"rendered":"https:\/\/tectron-worbis.de.46-4-53-222.vorschau.marketing-thom.de\/?page_id=1633"},"modified":"2023-03-20T10:58:38","modified_gmt":"2023-03-20T09:58:38","slug":"wissenschaftliches-engagement","status":"publish","type":"page","link":"https:\/\/www.tectron-worbis.de\/ro\/unternehmen\/wissenschaftliches-engagement\/","title":{"rendered":"angajamentul \u0219tiin\u021bific"},"content":{"rendered":"
SENECA<\/b><\/p>\n
\u00cempreun\u0103 cu reprezentan\u021bii Universit\u0103\u021bii Otto von Guericke din Magdeburg (Catedra de sisteme logistice, Laboratorul de inteligen\u021b\u0103 artificial\u0103) \u0219i ai companiei Thorsis Technologies GmbH, lucr\u0103m la dezvoltarea unui\u00a0\u201e<\/em><\/strong>\u201eSistem de sprijin decizional cu auto\u00eenv\u0103\u021bare pentru planificarea \u00een timp real a secven\u021bei de comenzi \u0219i a aloc\u0103rii utilajelor\u201d<\/em><\/strong>. \u00cen principiu, scopul este de a cerceta modul \u00een care metodele de \u00eenv\u0103\u021bare automat\u0103 (ML) pot fi aplicate pentru a rezolva probleme complexe de secven\u021biere a comenzilor \u0219i de alocare a utilajelor \u00een condi\u021bii de timp real.<\/p>\n Cerin\u021bele tot mai mari ale clien\u021bilor \u00een domeniul flexibilit\u0103\u021bii \u0219i termenelor scurte, cu un nivel ridicat de respectare a termenelor de livrare la timp, sunt asociate cu costuri de produc\u021bie mai mari. Metodele de inteligen\u021b\u0103 artificial\u0103 pot contribui la generarea de solu\u021bii \u00een timp real care s\u0103 \u021bin\u0103 cont de ambele p\u0103r\u021bi.<\/p>\n Acest proiect este sus\u021binut de Ministerul Federal al Educa\u021biei \u0219i Cercet\u0103rii.<\/p>\n