An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system

DOI10.1057/palgrave.jors.2600468zbMath0893.90075OpenAlexW2008952403MaRDI QIDQ4366457

Robert D. Hurrion

Publication date: 14 December 1997

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.2600468

zbMATH Keywords

manufacturing systemkanbansapproximate optimum solutionneural network metamodelstochastic discrete-event system

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Production models (90B30)

Related Items

Simulation metamodelling with neural networks: An experimental investigation ⋮ The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems ⋮ One-dimensional nested maximin designs ⋮ A bibliography of neural network business applications research: 1994--1998