The Benefits of State Aggregation with Extreme-Point Weighting for Assemble-to-Order Systems

DOI10.1287/opre.2017.1710zbMath1443.90224OpenAlexW2173228612MaRDI QIDQ4971393

Alp Akcay, Alan Scheller-Wolf, Emre Nadar, Mustafa Akan

Publication date: 12 October 2020

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11693/48493

zbMATH Keywords

aggregationMarkov decision processesapproximate dynamic programmingassemble-to-order systems

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Inventory, storage, reservoirs (90B05) Markov and semi-Markov decision processes (90C40)

Related Items (3)

Remanufacturing of multi-component systems with product substitution ⋮ A novel decomposition-based method for solving general-product structure assemble-to-order systems ⋮ Optimal production and inventory control of multi-class mixed backorder and lost sales demand class models

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