Using stochastic optimization to determine threshold values for the control of unreliable manufacturing systems

DOI10.1007/BF02207640zbMath0813.90056OpenAlexW2091808051MaRDI QIDQ1342461

Houmin Yan, G. George Yin, Sheldon X. C. Lou

Publication date: 30 May 1995

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02207640

zbMATH Keywords

stochastic optimizationmanufacturing systemperturbation analysisKanban systemsoptimal threshold valuessurplus controlstwo tandem machines

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Production models (90B30) Application models in control theory (93C95)

Related Items (5)

Infinitesimal perturbation analysis and optimization for make-to-stock manufacturing systems based on stochastic fluid models ⋮ Optimal threshold levels in stochastic fluid models via simulation-based optimization ⋮ Ergodicity for functional stochastic differential equations and applications ⋮ Random-direction optimization algorithms with applications to threshold controls ⋮ Optimal production planning in pull flow lines with multiple products

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• Optimality of Zero-Inventory Policies for Unreliable Manufacturing Systems
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