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
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Madureira, A., Pereira, I., Sousa, N., Ávila, P., Bastos, J. (2011). Scheduling a Cutting and Treatment Stainless Steel Sheet Line with Self-Management Capabilities. In: Madureira, A., Ferreira, J., Vale, Z. (eds) Computational Intelligence for Engineering Systems. Intelligent Systems, Control and Automation: Science and Engineering, vol 46. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0093-2_2
Download citation
DOI: https://doi.org/10.1007/978-94-007-0093-2_2
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-0092-5
Online ISBN: 978-94-007-0093-2
eBook Packages: EngineeringEngineering (R0)