NDLI: Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties

Content Provider	IEEE Xplore Digital Library
Author	Madureira, A. Pereira, I.
Copyright Year	2010
Description	Author affiliation: Instituto Superior de Engenharia do Porto, Portugal (Madureira, A.; Pereira, I.)
Abstract	A novel approach to scheduling resolution by combining Autonomic Computing (AC), Multi-Agent Systems (MAS), Case-based Reasoning (CBR), and Bio-Inspired Optimization Techniques (BIT) will be described. AC has emerged as a paradigm aiming at incorporating applications with a management structure similar to the central nervous system. The main intentions are to improve resource utilization and service quality. In this paper we envisage the use of MAS paradigm for supporting dynamic and distributed scheduling in Manufacturing Systems with AC properties, in order to reduce the complexity of managing manufacturing systems and human interference. The proposed CBR based Intelligent Scheduling System was evaluated under different dynamic manufacturing scenarios.
Starting Page	109
Ending Page	112
File Size	257646
Page Count	4
File Format	PDF
ISBN	9781424473632
e-ISBN	9781424473656
DOI	10.1109/HIS.2010.5600084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Case-based Reasoning Job shop scheduling Processor scheduling Bio-Inspired Optimization Techniques Humans Multi-Agent Systems Dynamic scheduling Autonomic Computing Optimization
Content Type	Text
Resource Type	Article

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