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A modelling environment based on data warehousing to manage and to optimize the running of international company

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  • Combes, C.
  • Rivat, C.

Abstract

We propose a modelling environment to manage the sales abroad considering production, sales and foreign exchange risks in order to help the company to be more competitive at international levels and to maximize its profits. This modelling environment is based on data warehousing and knowledge discovery in databases coupled to performance evaluation by discrete event simulation. It allows to understand and to evaluate the business in taking into account its environment (for example the economic context). It will be used in order to help companies to develop their business, and especially when they want to sell abroad. We present on the one hand, the architecture of modelling environment and on the other hand, the logical models of the proposed data warehouse. An example of use of the modelling environment is proposed relating to the management of the foreign exchange risks.

Suggested Citation

  • Combes, C. & Rivat, C., 2008. "A modelling environment based on data warehousing to manage and to optimize the running of international company," International Journal of Production Economics, Elsevier, vol. 112(1), pages 294-308, March.
    • Handle: RePEc:eee:proeco:v:112:y:2008:i:1:p:294-308
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    References listed on IDEAS

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    1. Bali, Turan G., 2003. "The generalized extreme value distribution," Economics Letters, Elsevier, vol. 79(3), pages 423-427, June.
    2. Boyer, M. Martin & Filion, Didier, 2007. "Common and fundamental factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 29(3), pages 428-453, May.
    3. Jay Choi, Jongmoo & Hauser, Shmuel & Kopecky, Kenneth J., 1999. "Does the stock market predict real activity? Time series evidence from the G-7 countries," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1771-1792, December.
    4. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
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    Cited by:

    1. Manole VELICANU & Daniela LITAN & Aura-Mihaela MOCANU (VIRGOLICI), 2010. "Some Considerations about Modern Database Machines," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(2), pages 37-44.
    2. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.

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