Dynamic pricing of product and delivery time in multi-variant production using an actor critic reinforcement learning

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Florian Stamer
  • Gisela Lanza

The profitability of manufacturers in multi-variant production is challenged by the combination of increasing customer requirements and volatile supply chains. A potential solution is dynamic pricing, where customers can select a delivery time and price based on their preferences, and demand can be balanced during peak times. This paper presents a dynamic pricing approach using an actor-critic reinforcement learning agent in combination with a production simulation model and applies it in the automation technology industry.

OriginalspracheEnglisch
ZeitschriftCIRP Annals
Jahrgang72
Ausgabenummer1
Seiten (von - bis)405-408
Anzahl der Seiten4
ISSN0007-8506
DOIs
PublikationsstatusErschienen - 01.2023
Extern publiziertJa

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