Veranstaltungsprogramm

As digital transformation accelerates across industries, the need for secure, efficient, and collabora-tive information sharing in supply chains (SCs) becomes critical. [1] However, existing solutions for data exchange between companies often fall short in addressing the complex concerns of intellec-tual property (IP) protection, data misuse, and cybersecurity threats. Our paper will propose an ar-chitecture that facilitates secure information exchange across SCs without requiring direct data sharing, thereby preserving the IP and business-critical information of participating organizations.

The integration of advanced technologies, such as machine learning (ML) and data analytics, offers opportunities to improve the efficiency of manufacturing systems and optimizing SC performance. [1] However, current practices for intercompany data exchange remain fractured and inefficient, often limited to business-level communication and excluding valuable shop floor data. [2] Compa-nies are hesitant to share detailed manufacturing information due to concerns over losing control of proprietary data and exposing their systems to cyber threats. [3] These fears are well-founded, as data breaches and industrial espionage can lead to significant financial and reputational damage.

SOFTEMA erleichtert die Entwicklung und Dokumentation sicherheitsbezogener Anwendungssoftware (SRASW) durch eine strukturierte und normgerechte Methode. Der Codevisualisierer stellt Abschaltlogiken grafisch dar, während der Codegenerator automatisch Programmcode aus den definierten Sicherheitsfunktionen generiert.