Abstract
A genetic algorithm based reactive scheduling method was proposed in the previous research, in oder to modify and improve a disturbed initial production schedule without suspending the progress of manufacturing process. This paper proposes a new crossover method to improve the performance of the reactive scheduling method for total tardiness minimization problems and total flow time minimization problems. A multi-objective reactive scheduling method is also proposed based on the reactive scheduling method improved in this research. A prototype of multi-objective reactive scheduling system is developed and applied to computational experiments for job-shop type scheduling problems.
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7 References
Shin H, Kuroda M, (1996) An autonomous job shop scheduling system under dynamic production environment considering machine breakdowns. Advances in production management systems, Chapman & Hall: 399–410
Sugimura N, Tanimizu Y, Iwamura K, (2004) A study on real-time scheduling for holonic manufacturing system. CIRP journal of manufacturing systems, 33,5:467–475
Smith SF, (1995) Reactive scheduling systems. Intelligent scheduling systems, Kluwer academic: 155–192
Tanimizu Y, Sugimura N, (2002) A study on reactive scheduling based on genetic algorithm. Proc. of the 35th CIRP international seminar on manufacturing systems: 219–224
Hollanad JH, (1975) Adaptation in natural and artificial systems. University of Michigan press
Goldberg DE, (1989) Genetic algorithm in search, optimization and machine learning. Addison Wesley, Reading, Massachusetts
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© 2007 Springer-Verlag London Limited
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Tanimizu, Y., Miyamae, T., Sakaguchi, T., Iwamura, K., Sugimura, N. (2007). Multi-objective Reactive Scheduling Based on Genetic Algorithm. In: Towards Synthesis of Micro-/Nano-systems. Springer, London . https://doi.org/10.1007/1-84628-559-3_10
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DOI: https://doi.org/10.1007/1-84628-559-3_10
Publisher Name: Springer, London
Print ISBN: 978-1-84628-558-5
Online ISBN: 978-1-84628-559-2
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