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Self-optimizing Production Systems

  • Today’s manufacturers are facing numerous challenges such as highly entangled and interconnected supply chains, shortening product lifecycles and growing product complexity. They thus feel the need to adjust and adapt faster on all levels of value creation. Self-optimization as a basic principle appears a promising approach to handle complexity and unforeseen disturbances within supply chains, machines and processes. Therefore it will improve the resilience and competitiveness of manufacturing companies. This paper gives an introduction to the concept of self-optimizing production systems. After a short historical review, the different levels of value creation from supply chain design and management to manufacturing and assembly are analyzed considering their specific demands and needs for self-optimization. Examples from each of these levels are used to illustrate the concept of self-optimization as well as to outline its potential for flexibility and productivity. This paper closes with an outlook on the current scientific work and promising new fields of action.

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Metadaten
Verfasserangaben:Eike Permin, Felix Bertelsmeier, Matthias BlumGND, Jennifer Bützler, Sebastian Haag, Sinem Kuz, Denis Özdemir, Sebastian Stemmler, Ulrich Thombansen, Robert Schmitt, Christian Brecher, Christopher SchlickGND, Dirk Abel, Reinhart Poprawe, Peter Loosen, Wolfgang Schulz, Günther SchuhORCiDGND
DOI:https://doi.org/10.1016/j.procir.2015.12.114
Titel des übergeordneten Werkes (Deutsch):Procedia CIRP: Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future – Proceedings of the 48th CIRP Conference on Manufacturing Systems
Schriftenreihe (Bandnummer):Procedia CIRP (41)
Verlag:Elsevier
Ort:Amsterdam [u. a.]
Herausgeber*in:Roberto Teti
Dokumentart:Konferenzveröffentlichung
Sprache:Deutsch
Datum der Veröffentlichung (online):27.07.2023
Datum der Erstveröffentlichung:31.01.2016
Datum der Freischaltung:05.09.2023
Freies Schlagwort / Tag:artificial intelligence; control; management; optimization
Erste Seite:417
Letzte Seite:422
Konferenzname:48th CIRP Conference on Manufacturing Systems
Konferenzort:Ischia, Italien
Konferenzzeitraum:24.06.-26.06.2015
Institut / Bereiche des FIR:FIR e. V. an der RWTH Aachen
Produktionsmanagement
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International