Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. In this paper, we describe a Self-Optimizing Mechanism for Scheduling System through Nature Inspired Optimization Techniques (NIT). © Springer Science+Business Media B.V. 2010.
CITATION STYLE
Madureira, A., & Pereira, I. (2010). Self-optimization for dynamic scheduling in manufacturing systems. In Technological Developments in Networking, Education and Automation (pp. 421–426). Kluwer Academic Publishers. https://doi.org/10.1007/978-90-481-9151-2_74
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