Abstract
More than ever the impact of market turbulence, high product customization and sustainability can be perceived through the increase of dynamics and complexity of manufacturing and business environments. Modular and distributed control structures are nowadays a consensual way, common to the majority of modern paradigms, to deal with unpredictability and volatility of markets. With modern paradigms aiming on adaptability, evolution and re-configuration as a way to deal with this reality, learning mechanism have become very important to achieve such requirements. This paper presents an exploratory discussion on the topic of agent-based learning applied in a modern production paradigm such as Evolvable Production Systems (EPS).
Original language | English |
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Title of host publication | IEEE Industrial Electronics Society |
Pages | 2740-2745 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Jan 2011 |
Event | 37th Annual Conference of the IEEE Industrial Electronics Society (IECON / ICELIE) - Duration: 1 Jan 2011 → … |
Conference
Conference | 37th Annual Conference of the IEEE Industrial Electronics Society (IECON / ICELIE) |
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Period | 1/01/11 → … |
Keywords
- Product customization
- Production system
- Agent based
- Business environments
- Distributed control
- Evolvable
- Learning mechanism
- Modern paradigms