Proactive Scheduling for Steelmaking-Continuous Casting Plant with Uncertain Machine Breakdown Using Distribution-Based Robustness and Decomposed Artificial Neural Network

DOI10.1142/S0217595915500104zbMath1319.90040OpenAlexW2145686921MaRDI QIDQ5255191

Kiatkajohn Worapradya, Purit Thanakijkasem

Publication date: 12 June 2015

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217595915500104

zbMATH Keywords

genetic algorithmartificial neural networkrobust scheduling\(k\)-mean clusteringsteel making continuous casting

Mathematics Subject Classification ID

Mixed integer programming (90C11) Neural networks for/in biological studies, artificial life and related topics (92B20) Stochastic scheduling theory in operations research (90B36)

Uses Software

• Neural Network Toolbox

Cites Work

• Robust optimization - a comprehensive survey
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• A genetic algorithm for flowshop sequencing
• Executing production schedules in the face of uncertainties: a review and some future directions

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