A hybrid dynamic pre-emptive and competitive neural-network approach in solving the multi-objective dispatching problem for TFT-LCD manufacturing

DOI10.1080/00207540902926514zbMath1197.90329OpenAlexW2121443912MaRDI QIDQ3163381

Taho Yang, Jiunn Chenn Lu

Publication date: 25 October 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540902926514

zbMATH Keywords

simulationmultiple objectivesTFT-LCDdynamic dispatchingcompetitive neural-networkpre-emptive method

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Uses Software

• Neural Network Toolbox

Cites Work

• A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem
• Human resource management and performance: a neural network analysis
• Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method
• Control point policy: part 1–efficiency within make-to-order environments
• A Survey of Scheduling Rules
• A competitive neural network approach to multi-objective FMS scheduling
• Part dispatching and machine loading in flexible manufacturing systems using central queues
• Selection of dispatching rules on multiple dispatching decision points in real-time scheduling of a semiconductor wafer fabrication system
• Using dispatching rules for job shop scheduling with due date-based objectives

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