TY - CHAP A1 - Prell, Bastian A1 - Günther, Norman A1 - Reiff-Stephan, Jörg T1 - Cyber-Physical Production Systems in Settings with Limited Infrastructure BT - Blind Spots and Implications T2 - 2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021) N2 - During the last decade production innovation was mainly focused on connectivity aspects. The vision of smart factories running on software, that uses collected machine data, has become true but foremost for leading industrial companies in highly developed countries. Apart from these, production can also be found in non-industrialized craft professions as well as in less developed countries. As digitalization does not necessarily require an industrial or developed setting the latter could possibly benefit from it as well. Socio-cyber-physical production systems have been used to describe the interdependencies of linked production systems but usually focus on highly developed regions as well as for industrial applications. This paper lines out similarities and differences for each case, introduces the concept of cyber-physical production systems (CPPS) and its extension to socio-CPPS (SCPPS), which emphasizes the role of human workers in the production environment. The relation between industrial, non-industrial production and innovations is examined. Furthermore, the widening of SCCPS concepts for non-industrial production is discussed. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 1 KW - socio-cyber-physical production system KW - limited infrastructure KW - developing country KW - craft KW - non-industrialized KW - digitalization Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-14993 SP - 229 EP - 238 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Wilbers, Simon A1 - van de Sand, Ron A1 - Prell, Bastian A1 - Reiff-Stephan, Jörg ED - Reiff-Stephan, Jörg ED - Beuster, Anja T1 - Agentic Recommender System Konzept für nachhaltiges Wissensmanagement T1 - Agentic Recommender System Concept for Sustainable Knowledge Management BT - KI-befähigtes Wissensmanagement in Unternehmen BT - AI-Enabled Knowledge Management in Companies T2 - Wildauer Konferenz für Künstliche Intelligenz 2025 (WiKKI25) N2 - Unternehmen stehen vor erheblichen Herausforderungen beim Erhalt, bei der Nutzung und Weitergabe zentralen Wissens. Demografischer Wandel, zunehmender Mitarbeiterfluktuation und steigende organisatorische Komplexität erschweren klassische Dokumentations- und Austauschprozesse, welche auf erhebliche Mitarbeitendenmitwirkung angewiesen sind. Mithilfe generativer KI und agentischer Recommender-Systeme lassen sich diese Hindernisse überwinden, indem wichtiges Wissen ”on-the-fly“ und weitestgehend automatisiert erfasst wird. Ein zentrales Element bildet hierbei die Kombination aus semantischen Embeddings, einer Graphdatenbank und spezialisierten KI-Agenten, die Dokumente und Chatverläufe analysieren, Mitarbeiter gezielt mit Vorschlägen unterstützen und Wissen so kontinuierlich aktualisieren. So entsteht eine effektive Wissenskultur mit niedrigen Barrieren für die Nutzung dank minimalem Mehraufwand für die menschlichen Nutzer. N2 - Companies face considerable challenges in retaining, utilising and passing on key knowledge. Demographic change, increasing employee turnover and growing organisational complexity are making traditional documentation and exchange processes, which rely heavily on employee participation, more difficult. With the help of generative AI and agentic recommender systems, these obstacles can be overcome by capturing important knowledge ‘on the fly’ and in a largely automated manner. A central element here is the combination of semantic embeddings, a graph database and specialised AI agents that analyse documents and chat histories, provide employees with targeted support in the form of suggestions and thus continuously update knowledge. This creates an effective knowledge culture with low barriers to use thanks to minimal additional effort for human users. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 2 KW - graph database KW - knowledge management KW - recommendation system KW - semantic search KW - Wissensmanagement KW - Graphdatenbank KW - Semantische Suche KW - Recommender-System Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20764 PB - TIB Open Publishing CY - Hannover ER -