Learning market prices in real-time supply chain management

被引：6

作者：

Burke, David A. ^{[1
,2
]}

Brown, Kenneth N. ^{[1
,2
]}

Tarim, S. Armagan ^{[1
,3
]}

Hnich, Brahim ^{[4
]}

机构：

[1] Natl Univ Ireland Univ Coll Cork, Ctr Telecommun Value Chain Res, Cork, Ireland

[2] Natl Univ Ireland Univ Coll Cork, Cork Constraint Computat Ctr, Cork, Ireland

[3] Hacettepe Univ, Dept Management, Ankara, Turkey

[4] Izmir Univ Econ, Fac Comp Sci, Izmir, Turkey

来源：

COMPUTERS & OPERATIONS RESEARCH | 2008年 / 35卷 / 11期

基金：

爱尔兰科学基金会;

关键词：

D O I：

10.1016/j.cor.2007.01.021

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：3465 / 3478

页数：14

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