Economic Regime identification and prediction in TAC SCM using sales and procurement information

F.P. Hogenboom, W. Ketter, Jan Dalen, van, U. Kaymak, J. Collins, Alok Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Abstract

Our research is focused on the effects of the additionof procurement information (offer prices) to a sales-based economic regime model. This model is used for strategic, tactical, and operational decision making in dynamic supply chains. We evaluate the performance of the regime model through experiments with the MinneTAC trading agent, which competes in the TAC SCM game. The new regime model has an overall predictive performance which is equal to the performance of the existing model. Regime switches are predicted more accurately, whereas the prediction accuracy of dominant regimes does not improve. However, because procurement information has been added to the model, the model has been enriched, which gives new opportunities for applications in the procurement market, such as procurement reserve pricing.
Original languageEnglish
Title of host publicationTrading agent design and analysis
Pages25-34
Publication statusPublished - 2009
EventIJCAI-09 Workshop on Trading Agent Design and Analysis (TADA-09), July 13, 2009, Pasadena, CA, USA - Pasadena, CA, United States
Duration: 13 Jul 200913 Jul 2009
http://tada2009.ecs.soton.ac.uk/

Workshop

WorkshopIJCAI-09 Workshop on Trading Agent Design and Analysis (TADA-09), July 13, 2009, Pasadena, CA, USA
Abbreviated titleTADA-09
CountryUnited States
CityPasadena, CA
Period13/07/0913/07/09
OtherWorkshop at the 21st International Joint Conference on Artificial Intelligence (IJCAI-09)
Internet address

Fingerprint Dive into the research topics of 'Economic Regime identification and prediction in TAC SCM using sales and procurement information'. Together they form a unique fingerprint.

Cite this