Application of average dynamic programming to inventory systems

DOI10.1007/BF01198405zbMath0940.90007OpenAlexW2022529355MaRDI QIDQ1298770

Raúl Montes-De-oca, Óscar Vega-Amaya

Publication date: 25 July 2000

Published in: Mathematical Methods of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01198405

zbMATH Keywords

dynamic programmingaverage costinventory systemsdiscrete-time Markov control processesunbounded costs and controls

Mathematics Subject Classification ID

Inventory, storage, reservoirs (90B05) Dynamic programming (90C39)

Related Items (4)

A perturbation approach to a class of discounted approximate value iteration algorithms with Borel spaces ⋮ Markov control processes with pathwise constraints ⋮ A perturbation approach to approximate value iteration for average cost Markov decision processes with Borel spaces and bounded costs ⋮ Optimal strategies for an inventory system with cost functions of general form

Cites Work

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• Discounted and average Markov decision processes with unbounded rewards: New conditions
• Average cost optimal policies for Markov control processes with Borel state space and unbounded costs
• Average Cost Optimal Stationary Policies in Infinite State Markov Decision Processes with Unbounded Costs
• Discrete-Time Controlled Markov Processes with Average Cost Criterion: A Survey
• Average Optimality in Dynamic Programming with General State Space
• A Counterexample on the Semicontinuity of Minima

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