Abstract
Nowadays using a robust simulator is very important to support an organization in its first step to consolidate in the market, in this research we make a challenging organizational tool based on different components to make an adequate strategic planning methodology, unlike current applications, it is focused on an environment that goes beyond simple numerical forecasts and statistical processes. It is based on advanced components to optimize the strategies and stratagems to be followed within the company, helping businesses to achieve competitive advantage in the market. A business simulator is flexible, adaptive, has learning ability, is robust and fault tolerant. Our intelligent tool uses different methodologies to provide optimal strategies to improve competitiveness of a company, the ability of the model can provide strategies that are not obvious because they can find no obvious relationship among variables that can help the manager or leader of an organization to realize a better decision. This tool is an aid in the process of improving competitiveness because it supports the strategic decisions made in an organizational level.
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Ochoa, A., González, S., Moriel, E., Arreola, J., García, F. (2017). Improving Decision-Making in a Business Simulator Using TOPSIS Methodology for the Establishment of Reactive Stratagems. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_55
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DOI: https://doi.org/10.1007/978-3-319-47054-2_55
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