A cognitive approach to real-time rescheduling using SOAR-RL

Ensuring flexible and efficient manufacturing of customized products in an increasing dynamic and turbulent environment without sacrificing cost effectiveness, product quality and on-time delivery has become a key issue for most industrial enterprises. A promising approach to cope with this challeng...

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Detalles Bibliográficos
Autores principales: Barsce, Juan Cruz, Palombarini, Jorge, Martínez, Ernesto
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Informática
rescheduling
cognitive architecture
manufacturing systems
reinforcement learning
SOAR
Learning
Object recognition
Manufacturing
Real time
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/31558
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-31558
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Informática
rescheduling
cognitive architecture
manufacturing systems
reinforcement learning
SOAR
Learning
Object recognition
Manufacturing
Real time
spellingShingle Ciencias Informáticas
Informática
rescheduling
cognitive architecture
manufacturing systems
reinforcement learning
SOAR
Learning
Object recognition
Manufacturing
Real time
Barsce, Juan Cruz
Palombarini, Jorge
Martínez, Ernesto
A cognitive approach to real-time rescheduling using SOAR-RL
topic_facet Ciencias Informáticas
Informática
rescheduling
cognitive architecture
manufacturing systems
reinforcement learning
SOAR
Learning
Object recognition
Manufacturing
Real time
description Ensuring flexible and efficient manufacturing of customized products in an increasing dynamic and turbulent environment without sacrificing cost effectiveness, product quality and on-time delivery has become a key issue for most industrial enterprises. A promising approach to cope with this challenge is the integration of cognitive capabilities in systems and processes with the aim of expanding the knowledge base used to perform managerial and operational tasks. In this work, a novel approach to real-time rescheduling is proposed in order to achieve sustainable improvements in flexibility and adaptability of production systems through the integration of artificial cognitive capabilities, involving perception, reasoning/learning and planning skills. Moreover, an industrial example is discussed where the SOAR cognitive architecture capabilities are integrated in a software prototype, showing that the approach enables the rescheduling system to respond to events in an autonomic way, and to acquire experience through intensive simulation while performing repair tasks.
format Objeto de conferencia
Objeto de conferencia
author Barsce, Juan Cruz
Palombarini, Jorge
Martínez, Ernesto
author_facet Barsce, Juan Cruz
Palombarini, Jorge
Martínez, Ernesto
author_sort Barsce, Juan Cruz
title A cognitive approach to real-time rescheduling using SOAR-RL
title_short A cognitive approach to real-time rescheduling using SOAR-RL
title_full A cognitive approach to real-time rescheduling using SOAR-RL
title_fullStr A cognitive approach to real-time rescheduling using SOAR-RL
title_full_unstemmed A cognitive approach to real-time rescheduling using SOAR-RL
title_sort cognitive approach to real-time rescheduling using soar-rl
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/31558
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AT martinezernesto acognitiveapproachtorealtimereschedulingusingsoarrl
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