Infinitesimal perturbation analysis and optimization for make-to-stock manufacturing systems based on stochastic fluid models

DOI10.1007/s10626-006-6180-xzbMath1121.90367OpenAlexW1975239811WikidataQ62674467 ScholiaQ62674467MaRDI QIDQ853683

Christos G. Cassandras, Christos G. Panayiotou

Publication date: 17 November 2006

Published in: Discrete Event Dynamic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10626-006-6180-x

zbMATH Keywords

OptimizationManufacturing systemsInfinitesimal perturbation analysisStochastic fluid models

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Management decision making, including multiple objectives (90B50) Queueing theory (aspects of probability theory) (60K25) Applications of queueing theory (congestion, allocation, storage, traffic, etc.) (60K30)

Related Items

Performance regulation of event-driven dynamical systems using infinitesimal perturbation analysis, Infinitesimal perturbation analysis and optimization for make-to-stock manufacturing systems based on stochastic fluid models, IPA derivatives for a discrete model of make-to-stock production-inventory systems with backorders, Performance optimization of queueing systems with perturbation realization, Infinitesimal perturbation analysis in networks of stochastic flow models: general framework and case study of tandem networks with flow control, IPA for continuous stochastic marked graphs

Uses Software

• UMDES

Cites Work

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