Abstract | ||
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In this study, a production control problem on a flexible assembly line (FAL) with flexible operation assignment and variable operative efficiencies is investigated. A mathematical model of the production control problem is formulated with the consideration of the time-constant learning curve to deal with the change of operative efficiency in real-life production. An intelligent production control decision support (PCDS) system is developed, which is composed of a radio frequency identification technology-based data capture system, a PCDS model comprising a bi-level genetic optimization process and a heuristic operation routing rule is developed. Experimental results demonstrated that the proposed PCDS system could implement effective production control decision-making for solving the FAL. |
Year | DOI | Venue |
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2009 | 10.1016/j.eswa.2008.03.023 | Expert Syst. Appl. |
Keywords | Field | DocType |
flexible assembly lines,flexible assembly line,heuristic operation,intelligent production control decision,mathematical model,genetic algorithms,learning curves,radio frequency identification,production control problem,production control,support system,effective production control decision-making,pcds model,proposed pcds system,decision support system,flexible operation assignment,real-life production,learning curve,genetic algorithm,time constant,data capture,genetics,decision support | Heuristic,Production control,Computer science,Decision support system,Automatic identification and data capture,Artificial intelligence,Learning curve,Radio-frequency identification,Machine learning,Genetic algorithm | Journal |
Volume | Issue | ISSN |
36 | 3 | Expert Systems With Applications |
Citations | PageRank | References |
15 | 0.78 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Z. X. Guo | 1 | 80 | 6.54 |
W. K. Wong | 2 | 957 | 49.71 |
S. Y. S. Leung | 3 | 227 | 13.99 |
J. T. Fan | 4 | 80 | 5.12 |