Simulation optimisation of pull control policies for serial manufacturing lines and assembly manufacturing systems using genetic algorithms

DOI10.1080/00207540802603759zbMath1197.90215OpenAlexW2005002443WikidataQ115006762 ScholiaQ115006762MaRDI QIDQ3163313

D. E. Koulouriotis, A. Xanthopoulos, V. D. Tourassis

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/10.1080/00207540802603759

zbMATH Keywords

decision support systemscomputer visionartificial intelligencetime series analysisdata miningroboticsevolutionary computationassembly linesknowledge engineeringautomated manufacturing systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Deterministic scheduling theory in operations research (90B35)

Related Items (2)

An optimization approach to the scale of port cold-chain dedicated terminals considering uncertainties ⋮ The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems

Cites Work

• Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practise.
• Analysis of assembly systems controlled with kanbans
• A unified framework for pull control mechanisms in multi-stage manufacturing systems
• A simulated annealing approach for buffer allocation in reliable production lines
• Multiple machine JIT scheduling: a tabu search approach

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