Identifying and predicting economic regimes in supply chains using sales and procurement information

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

doi:10.1145/1593254.1593258

Identifying and predicting economic regimes in supply chains using sales and procurement information

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

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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Abstract

We investigate the effects of adding procurement information (component offer prices) to a sales-based economic regime model, which is used for strategic, tactical, and operational decision making in dynamic supply chains. The performance of the regime model is evaluated through experiments with the MinneTAC trading agent, which competes in the TAC SCM game. We find that the new regime model has a similar overall predictive performance as the existing model. Regime switches are predicted more accurately, whereas the prediction accuracy of dominant regimes is slightly worse. However, by adding procurement information, we have enriched the model and we have further opportunities for applications in the procurement market, such as procurement reserve pricing.

Original language	English
Title of host publication	Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan
Place of Publication	Taipei, Taiwan
Publisher	Association for Computing Machinery, Inc
Pages	19-28
DOIs	https://doi.org/10.1145/1593254.1593258
Publication status	Published - 2009
Event	8th International Conference on Entertainment Computing - Paris, France Duration: 3 Sept 2009 → 5 Sept 2009

Conference

Conference	8th International Conference on Entertainment Computing
Abbreviated title	ICEC 2009
Country/Territory	France
City	Paris
Period	3/09/09 → 5/09/09

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10.1145/1593254.1593258

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Hogenboom, F. P., Ketter, W., Dalen, van, J., Kaymak, U., Collins, J., & Gupta, A. (2009). Identifying and predicting economic regimes in supply chains using sales and procurement information. In Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan (pp. 19-28). Association for Computing Machinery, Inc. https://doi.org/10.1145/1593254.1593258

@inproceedings{2ff2eb1652234506ac2ce270601b7f62,

title = "Identifying and predicting economic regimes in supply chains using sales and procurement information",

abstract = "We investigate the effects of adding procurement information (component offer prices) to a sales-based economic regime model, which is used for strategic, tactical, and operational decision making in dynamic supply chains. The performance of the regime model is evaluated through experiments with the MinneTAC trading agent, which competes in the TAC SCM game. We find that the new regime model has a similar overall predictive performance as the existing model. Regime switches are predicted more accurately, whereas the prediction accuracy of dominant regimes is slightly worse. However, by adding procurement information, we have enriched the model and we have further opportunities for applications in the procurement market, such as procurement reserve pricing.",

author = "F.P. Hogenboom and W. Ketter and {Dalen, van}, Jan and U. Kaymak and J. Collins and Alok Gupta",

year = "2009",

doi = "10.1145/1593254.1593258",

language = "English",

pages = "19--28",

booktitle = "Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "8th International Conference on Entertainment Computing, ICEC 2009 ; Conference date: 03-09-2009 Through 05-09-2009",

}

Hogenboom, FP, Ketter, W, Dalen, van, J, Kaymak, U, Collins, J & Gupta, A 2009, Identifying and predicting economic regimes in supply chains using sales and procurement information. in Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan. Association for Computing Machinery, Inc, Taipei, Taiwan, pp. 19-28, 8th International Conference on Entertainment Computing, Paris, France, 3/09/09. https://doi.org/10.1145/1593254.1593258

Identifying and predicting economic regimes in supply chains using sales and procurement information. / Hogenboom, F.P.; Ketter, W.; Dalen, van, Jan et al.
Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan. Taipei, Taiwan: Association for Computing Machinery, Inc, 2009. p. 19-28.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Identifying and predicting economic regimes in supply chains using sales and procurement information

AU - Hogenboom, F.P.

AU - Ketter, W.

AU - Dalen, van, Jan

AU - Kaymak, U.

AU - Collins, J.

AU - Gupta, Alok

PY - 2009

Y1 - 2009

N2 - We investigate the effects of adding procurement information (component offer prices) to a sales-based economic regime model, which is used for strategic, tactical, and operational decision making in dynamic supply chains. The performance of the regime model is evaluated through experiments with the MinneTAC trading agent, which competes in the TAC SCM game. We find that the new regime model has a similar overall predictive performance as the existing model. Regime switches are predicted more accurately, whereas the prediction accuracy of dominant regimes is slightly worse. However, by adding procurement information, we have enriched the model and we have further opportunities for applications in the procurement market, such as procurement reserve pricing.

AB - We investigate the effects of adding procurement information (component offer prices) to a sales-based economic regime model, which is used for strategic, tactical, and operational decision making in dynamic supply chains. The performance of the regime model is evaluated through experiments with the MinneTAC trading agent, which competes in the TAC SCM game. We find that the new regime model has a similar overall predictive performance as the existing model. Regime switches are predicted more accurately, whereas the prediction accuracy of dominant regimes is slightly worse. However, by adding procurement information, we have enriched the model and we have further opportunities for applications in the procurement market, such as procurement reserve pricing.

U2 - 10.1145/1593254.1593258

DO - 10.1145/1593254.1593258

M3 - Conference contribution

SP - 19

EP - 28

BT - Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan

PB - Association for Computing Machinery, Inc

CY - Taipei, Taiwan

T2 - 8th International Conference on Entertainment Computing

Y2 - 3 September 2009 through 5 September 2009

ER -

Hogenboom FP, Ketter W, Dalen, van J, Kaymak U, Collins J, Gupta A. Identifying and predicting economic regimes in supply chains using sales and procurement information. In Proceedings of the 11th international conference on electronic commerce (ICEC 2009), August 12 - 15, 2009 , Taipei, Taiwan. Taipei, Taiwan: Association for Computing Machinery, Inc. 2009. p. 19-28 doi: 10.1145/1593254.1593258

Identifying and predicting economic regimes in supply chains using sales and procurement information

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