A comparison of the performance of artificial intelligence techniques for optimizing the number of kanbans

DOI10.1057/palgrave.jors.2601395zbMath1130.90324OpenAlexW2041531097MaRDI QIDQ4656699

Berna Dengiz, Fulya Altiparmak, C. Alabas

Publication date: 14 March 2005

Published in: Journal of the Operational Research Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1057/palgrave.jors.2601395

zbMATH Keywords

neural networksimulated annealingtabu searchgenetic algorithmssimulation optimizationkanbanJust in Time systemkanban-controlled system

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (1)

The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems

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