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

Author

Listed:
  • Catherine Combes

    (LabHC - Laboratoire Hubert Curien - IOGS - Institut d'Optique Graduate School - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Celine Rivat

    (COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne)

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

  • Catherine Combes & Celine Rivat, 2008. "A modelling environment based on data warehousing to manage and to optimize the running of international company," Post-Print halshs-00519262, HAL.
    • Handle: RePEc:hal:journl:halshs-00519262
    DOI: 10.1016/j.ijpe.2006.12.065
    as

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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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