Abstract
The management of Virtual Organization (VO) brings some challenges. One of them is the appropriate and effective coordination and monitoring of distributed businesses processes. It is not easy or trivial to handle the enormous amount of information about and from VOs members. As a direct consequence, decisions are crucial and should be taken not only with agility, but also with intelligence. This paper introduces a framework to support an integrated decision-making environment through which managers will be able to take assisted and smarter decisions. The key element of this framework is the Intelligent Decision Support System, which applies Artificial Intelligence techniques (Data Mining and Machine Learning) to facilitate and to support the decision-making process.
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Keywords
- Virtual Organization
- Collaborative Network
- Virtual Enterprise
- Bullwhip Effect
- Computational Decision Support System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Loss, L., Rabelo, R.J., Pereira-Klen, A.A. (2005). A Generic Framework Based on Machine Learning Techniques for Virtual Organization Management. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ortiz, A. (eds) Collaborative Networks and Their Breeding Environments. PRO-VE 2005. IFIP — The International Federation for Information Processing, vol 186. Springer, Boston, MA. https://doi.org/10.1007/0-387-29360-4_22
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DOI: https://doi.org/10.1007/0-387-29360-4_22
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