20.500.12556/DKUM-83853 Data-driven supply chain operations the pilot case of postal logistics and the cross-border optimization potential Data-driven supply chain operations — the pilot case of postal logistics and the cross-border optimization potential According to the defined challenge of cross-border delivery, a pilot experiment based on the integration of new digital technologies to assess process optimization potential in the postal sector was designed. The specifics were investigated with events processing based on digital representation. Different events were simulated with scenario analysis with the integration of the Cognitive Advisor and supported by the monitoring of KPIs. The business environment is forcing logistics companies to optimize their delivery processes, integrate new technologies, improve their performance metrics, and move towards Logistics 4.0. Their main goals are to simultaneously reduce costs, environmental impact, delivery times, and route length, as well as to increase customer satisfaction. This pilot experiment demonstrates the integration of new digital technologies for process optimization in real time to manage intraday changes. Postal operators can increase flexibility, introduce new services, improve utilization by up to 50%, and reduce costs and route length by 12.21%. The Cognitive Advisor has shown great potential for the future of logistics by enabling a dynamic approach to managing supply chain disruptions using sophisticated data analytics for process optimization based on the existing delivery infrastructure and improving business processes. Research originality is identified with a novel approach of real-time simulation based on the integration of the Cognitive Advisor in postal delivery. cognitive logistics machine learning social IoT last mile digital twin supply chain digitization kognitivna logistika strojno učenje družbeni internet stvari zadnji kilometer digitalni dvojček digitalizacija dobavne verige true false true Angleški jezik Slovenski jezik Članek v reviji 2023-02-24 13:28:42 2023-02-24 13:28:43 2023-02-25 03:05:27 0000-00-00 00:00:00 2023 0 0 str. 324-334 iss. 3, [article no.] 1624 Vol. 23 Feb. 2023 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 2023-02-02 658:004.85 141541891 10.3390/s23031624 1424-8220 https://www.mdpi.com/1424-8220/23/3/1624 1 c821109c-b43e-11ed-bcc3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=165831 Zdolsek_Draksler,_Cimperman,_Obrecht__Data-Driven_Supply_Chain_Operations—The_Pilot_Case_of.pdf Zdolsek_Draksler,_Cimperman,_Obrecht__Data-Driven_Supply_Chain_Operations—The_Pilot_Case_of.pdf 1 78EE08862E5AF6CBB91A2A16124608AA 8e98f42ae63630c567f104a4207481bd9c66b41f0fc249acc19c21b5367f38d8 c9a6a59c-b43f-11ed-bcc3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=165832 Fakulteta za logistiko 0 0 0