Dynamic pricing of product and delivery time in multi-variant production using an actor critic reinforcement learning
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Authors
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.
Originalsprache | Englisch |
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Zeitschrift | CIRP Annals |
Jahrgang | 72 |
Ausgabenummer | 1 |
Seiten (von - bis) | 405-408 |
Anzahl der Seiten | 4 |
ISSN | 0007-8506 |
DOIs | |
Publikationsstatus | Erschienen - 01.2023 |
Extern publiziert | Ja |
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