Asymptotically optimal production policies in dynamic stochastic jobshops with limited buffers

DOI10.1016/j.jmaa.2006.01.034zbMath1139.90355OpenAlexW3121522379MaRDI QIDQ820026

Suresh P. Sethi, Yumei Hou, Qing Zhang, Han-Qin Zhang

Publication date: 6 April 2006

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2006.01.034

zbMATH Keywords

asymptotic analysisstochastic dynamic programmingdiscounted costoptimal production policystochastic manufacturing systems

Mathematics Subject Classification ID

Continuous-time Markov processes on general state spaces (60J25) Stochastic programming (90C15) Deterministic scheduling theory in operations research (90B35) Production models (90B30) Dynamic programming (90C39)

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Stability and optimality of a multi-product production and storage system under demand uncertainty ⋮ Asymptotic behavior of the processes describing some insurance models ⋮ THE OPTIMAL INVENTORY CONTROL OF A SYSTEM WITH RANDOM LEAD TIME WHERE RANDOM SUPPLY INTERRUPTIONS AFFECT THE REPLENISHMENT

Cites Work

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• Existence of optimal feedback production plans in stochastic flowshops with limited buffers
• Hierarchical production control in a stochastic \(N\)-machine flowshop with limited buffers
• Optimal control of production rate in a failure prone manufacturing system
• Hierarchical controls in stochastic manufacturing systems with machines in tandem
• Stochastic dynamic job shops and hierarchical production planning

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