The transition from ISA-95 to RAMI4.0/IIRA based automation for production automation in Industry 4.0 is ongoing. This includes the integration of legacy OT with emerging IT technologies. Another aspect is automation/digitalization across value networks involving a multitude of stakeholders in complex relationships. Consequently, Management for Industry 5.0 covers three thematic themes: (1) connectivity, infrastructure, and security, (2) the autonomous evolution and challenges of System of System (SoS) in cyber-physical systems (CPS), and (3) human in the loop.

Recent advancements in communication technology, especially wireless, are transforming the industrial landscape. This necessitates the integration of wireless LAN, PAN and cellular technology, specifically 5G/6G, into both OT and IT communications, offering greater flexibility and challenging traditional industrial communication and security paradigms. This shift extends beyond industry 5.0, benefiting fields like agriculture and logistics. Key requirements such as privacy, dependability, and trustworthiness drive service- and data-driven automation in various production domains.

The future will bring large System of Systems (SoS) involving IoT, AI, Analytics, Big data, and legacy technology, distributed among multiple stakeholders. The success of these production systems hinges on incorporating human actors and addressing challenges like trust in autonomous systems, human-robot collaboration, competence development, and knowledge management. This encompasses explainable AI in production and workplace integrated learning in smart factories.

While architectures like RAMI4.0 and IIRA have been proposed, they are still in their early stages. Implementation platforms and frameworks are also in their infancy, particularly in managing complex automation and digitalization solutions across all levels of abstraction. These architectures and technologies will be instrumental in autonomically controlling digitalized production infrastructures, requiring trustworthy and reliable data. Trust in industrial AI varies among stakeholders, impacting management and organizational aspects. Technology and organizational adaptation are critical, potentially leading to organizational reconfiguration.

Topics:
The workshop will focus on several core engineering and management issues, focus topics are:
AI based expert advice systems
Cooperation between services using e.g. agentic AI
Migration Management
Technology Acceptance
Technology and Organizational Adaptation
Operational Management
Security Management
Deployment Management
Automation Evolution of Management and Engineering
Management of Network in Industry
Connectivity Management from PHY to App
Product Life Cycle Management
Product Planning Management
Manufacturing Change Management
Manufacturing Process Management
Manufacturing Operations Management
Management of Digital Twins
SoS Challenges in Cyber Physical System
Technology and certification integration in CPS
New Return on Investment and Sustainability Approaches