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

Frederik Hogenboom; Wolfgang Ketter; Jan Van Dalen; Uzay Kaymak; John Collins; Alok Gupta

doi:10.1145/1593254.1593258

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

Frederik Hogenboom, Wolfgang Ketter, Jan Van Dalen, Uzay Kaymak, John Collins, Alok Gupta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 (US)
Title of host publication	Proceedings of the 11th International Conference on Electronic Commerce, ICEC 2009
Pages	19-28
Number of pages	10
DOIs	https://doi.org/10.1145/1593254.1593258
State	Published - 2009
Event	11th International Conference on Electronic Commerce, ICEC 2009 - Taipei, Taiwan, Province of China Duration: Aug 12 2009 → Aug 15 2009

Publication series

Name	ACM International Conference Proceeding Series

Other

Other	11th International Conference on Electronic Commerce, ICEC 2009
Country/Territory	Taiwan, Province of China
City	Taipei
Period	8/12/09 → 8/15/09

Keywords

Economic regimes
Machine learning
Supply chain management
TAC SCM
Trading agent

Publisher link

10.1145/1593254.1593258

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Hogenboom, F., Ketter, W., Van Dalen, 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 (pp. 19-28). (ACM International Conference Proceeding Series). https://doi.org/10.1145/1593254.1593258

Identifying and predicting economic regimes in supply chains using sales and procurement information. / Hogenboom, Frederik; Ketter, Wolfgang; Van Dalen, Jan et al.
Proceedings of the 11th International Conference on Electronic Commerce, ICEC 2009. 2009. p. 19-28 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hogenboom, F, Ketter, W, Van Dalen, 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. ACM International Conference Proceeding Series, pp. 19-28, 11th International Conference on Electronic Commerce, ICEC 2009, Taipei, Taiwan, Province of China, 8/12/09. https://doi.org/10.1145/1593254.1593258

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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.",

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AU - Van Dalen, Jan

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AU - Collins, John

AU - Gupta, Alok

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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.

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

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Keywords

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