Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information

Frederik Hogenboom; Wolf Ketter; Jan van Dalen; U Kaymak; J Collins; A Gupta

Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information

Frederik Hogenboom, Wolf Ketter, Jan van Dalen, U Kaymak, J Collins, A Gupta

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

Abstract

Our research is focused on the effects of the addition of 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 language	English
Title of host publication	Proceedings of the IJCAI'09 Workshop on Trading Agent Design and Analysis (TADA 2009)
Editors	E.H. Gerding
Place of Publication	Pasadena, California, USA
Pages	25-34
Number of pages	10
Publication status	Published - 11 Jul 2009

Bibliographical note

FHogenboom09TADA

Research programs

EUR ESE 32
RSM LIS

Cite this

@inproceedings{50d7578194494db085ee21dc06c15963,

title = "Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information",

abstract = "Our research is focused on the effects of the addition of 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.",

author = "Frederik Hogenboom and Wolf Ketter and {van Dalen}, Jan and U Kaymak and J Collins and A Gupta",

note = "FHogenboom09TADA",

year = "2009",

month = jul,

day = "11",

language = "English",

pages = "25--34",

editor = "E.H. Gerding",

booktitle = "Proceedings of the IJCAI'09 Workshop on Trading Agent Design and Analysis (TADA 2009)",

}

Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information. / Hogenboom, Frederik; Ketter, Wolf ; van Dalen, Jan et al.
Proceedings of the IJCAI'09 Workshop on Trading Agent Design and Analysis (TADA 2009). ed. / E.H. Gerding. Pasadena, California, USA, 2009. p. 25-34.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

T1 - Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information

AU - Hogenboom, Frederik

AU - Ketter, Wolf

AU - van Dalen, Jan

AU - Kaymak, U

AU - Collins, J

AU - Gupta, A

N1 - FHogenboom09TADA

PY - 2009/7/11

Y1 - 2009/7/11

N2 - Our research is focused on the effects of the addition of 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.

AB - Our research is focused on the effects of the addition of 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.

UR - http://tada2009.ecs.soton.ac.uk/papers/tada09_submission_5.pdf

M3 - Conference proceeding

SP - 25

EP - 34

BT - Proceedings of the IJCAI'09 Workshop on Trading Agent Design and Analysis (TADA 2009)

A2 - Gerding, E.H.

CY - Pasadena, California, USA

ER -

Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information

Abstract

Bibliographical note

Research programs

Other files and links

Fingerprint

Cite this