Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems

DOI10.1016/j.ejor.2012.03.020zbMath1253.90113OpenAlexW1965436038MaRDI QIDQ1926824

Rapinder Sawhney, Jiao Wang, Xue-Ping Li

Publication date: 29 December 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2012.03.020

zbMATH Keywords

schedulingsimulation-based optimizationpricingQ-learningreinforcement learning (RL)semi-Markov decision problem (SMDP)

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Inventory, storage, reservoirs (90B05) Markov and semi-Markov decision processes (90C40) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (3)

Pooling heterogeneous products for manufacturing environments ⋮ When do firms benefit from joint price and lead-time competition? ⋮ Lead-time quotation and hedging coordination in make-to-order supply chain

Cites Work

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