TY  - CONF
A1  - Permin, Eike
A1  - Bertelsmeier, Felix
A1  - Blum, Matthias
A1  - Bützler, Jennifer
A1  - Haag, Sebastian
A1  - Kuz, Sinem
A1  - Özdemir, Denis
A1  - Stemmler, Sebastian
A1  - Thombansen, Ulrich
A1  - Schmitt, Robert
A1  - Brecher, Christian
A1  - Schlick, Christopher
A1  - Abel, Dirk
A1  - Poprawe, Reinhart
A1  - Loosen, Peter
A1  - Schulz, Wolfgang
A1  - Schuh, Günther
A2  - Teti, Roberto
T1  - Self-optimizing Production Systems
T2  - 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
N2  - 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.
T3  - Procedia CIRP - 41 
KW  - artificial intelligence
KW  - control
KW  - management
KW  - optimization
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2682
SP  - 417
EP  - 422
PB  - Elsevier
CY  - Amsterdam [u. a.]
ER  -