Context and implications of learning in Evolvable Production Systems

Pedro Neves, João Dias Ferreira, Mauro Onori, José António Barata Oliveira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationIEEE Industrial Electronics Society
Pages2740-2745
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2011
Event37th Annual Conference of the IEEE Industrial Electronics Society (IECON / ICELIE) -
Duration: 1 Jan 2011 → …

Conference

Conference37th Annual Conference of the IEEE Industrial Electronics Society (IECON / ICELIE)
Period1/01/11 → …

Keywords

  • Product customization
  • Production system
  • Agent based
  • Business environments
  • Distributed control
  • Evolvable
  • Learning mechanism
  • Modern paradigms

Fingerprint Dive into the research topics of 'Context and implications of learning in Evolvable Production Systems'. Together they form a unique fingerprint.

Cite this