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Scheduling a Cutting and Treatment Stainless Steel Sheet Line with Self-Management Capabilities

  • Ana MadureiraEmail author
  • Ivo Pereira
  • Nelson Sousa
  • Paulo Ávila
  • João Bastos
Chapter
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 46)

Abstract

With advancement in computer science and information technology, computing systems are becoming increasingly more complex with an increasing number of heterogeneous components. They are thus becoming more difficult to monitor, manage, and maintain. This process has been well known as labor intensive and error prone. In addition, traditional approaches for system management are difficult to keep up with the rapidly changing environments. There is a need for automatic and efficient approaches to monitor and manage complex computing systems. In this paper, we propose an innovative framework for scheduling system management by combining Autonomic Computing (AC) paradigm, Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems

Keywords

Schedule Problem Multiagent System Schedule System Resource Agent Production Order 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Ana Madureira
    • 1
    • 2
    Email author
  • Ivo Pereira
    • 1
    • 2
  • Nelson Sousa
    • 1
    • 2
  • Paulo Ávila
    • 2
  • João Bastos
    • 2
  1. 1.GECAD – Knowledge Engineering and Decision Support Group PortoPortoPortugal
  2. 2.Institute of EngineeringPolytechnic of PortoPortoPortugal

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