Learning market prices in real-time supply chain management

Burke D. A., Brown K. N., Tarim Ş. A., HNİCH B.

COMPUTERS & OPERATIONS RESEARCH, cilt.35, sa.11, ss.3465-3478, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 11
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.cor.2007.01.021
  • Dergi Adı: COMPUTERS & OPERATIONS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3465-3478
  • Hacettepe Üniversitesi Adresli: Hayır

Özet

This paper proposes a model for dynamic pricing that combines knowledge of production capacity and existing commitments, reasoning about uncertainty and learning of market conditions in an attempt to optimise expected profits. In particular, the market conditions are represented as a set of probabilities over the success rate of product prices, and those prices are learned online as the market develops. The dynamic pricing model is integrated into a real-time supply chain management agent using the Trading Agent Competition Supply Chain Management game as a test framework. We evaluate the agent experimentally in competition with other supply chain agents, and demonstrate the benefits of incorporating more market data into the dynamic pricing mechanism. (c) 2007 Elsevier Ltd. All rights reserved.