Context and implications of learning in Evolvable Production Systems

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

doi:10.1109/IECON.2011.6119745

Context and implications of learning in Evolvable Production Systems

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

DEE2010-C2 Robótica e Manufactura Integrada por Computador

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IEEE Industrial Electronics Society
Pages	2740-2745
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2011.6119745
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)
Period	1/01/11 → …

Keywords

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

Access to Document

10.1109/IECON.2011.6119745

http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-84856509738&md5=2a87e675dc9482a36711dbd9354afeed

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Cite this

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title = "Context and implications of learning in Evolvable Production Systems",

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).",

keywords = "Product customization, Production system, Agent based, Business environments, Distributed control, Evolvable, Learning mechanism, Modern paradigms",

author = "Pedro Neves and Ferreira, {Jo{\~a}o Dias} and Mauro Onori and {Barata Oliveira}, {Jos{\'e} Ant{\'o}nio}",

year = "2011",

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doi = "10.1109/IECON.2011.6119745",

language = "English",

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AU - Neves, Pedro

AU - Ferreira, João Dias

AU - Onori, Mauro

AU - Barata Oliveira, José António

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Y1 - 2011/1/1

N2 - 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).

AB - 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).

KW - Product customization

KW - Production system

KW - Agent based

KW - Business environments

KW - Distributed control

KW - Evolvable

KW - Learning mechanism

KW - Modern paradigms

U2 - 10.1109/IECON.2011.6119745

DO - 10.1109/IECON.2011.6119745

M3 - Conference contribution

SN - 978-1-61284-972-0

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BT - IEEE Industrial Electronics Society

T2 - 37th Annual Conference of the IEEE Industrial Electronics Society (IECON / ICELIE)

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