**Business Applications**

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**Chapter 5**

**Emerging Applications of the New Paradigm of**

**Support Systems for Virtual Enterprise (DSS-VE)**

**1.1. Introduction in the paradigm of intelligent decision making process**

In the aftermath of the recent global crisis, the modern firm should proactively respond to the disruptive changes in the dynamics of markets, new technologies and the new architec‐ ture of the competition. Shen, Norrie (1999) proposed the following set of capabilities for the next generation of production systems: the integration of the firm with all its management systems and their partners to better respond to the global competition and to the move‐ ments in the markets; distributed structure based on knowledge; heterogeneous environ‐ ments (software and hardware heterogeneous distributed in the production and operational environment); interoperability opened and capable to integrate new systems in an dynamic way; efficient cooperation with suppliers, partners and clients, integration human-machine; agility (the ability to adapt to a new environment in the case of rapid changing); scalability (additional resources could be easily incorporate) in every point location at every level with‐ out affection to the inter-organizational interdependencies; a good tolerance to different

In real word it is very difficult to change, to adapt and to innovate in the context of a central‐ ized managed process. It is necessary a new paradigm of intelligent decision making, more generalized, more flexible, more adaptable to change. The classical decomposition in subsys‐ tems- elements is not effective and the distributed method, which defines the components and the interactions between components in order to analyze the effects of dynamic interac‐

> © 2012 Prelipcean and Boscoianu; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

© 2012 Prelipcean and Boscoianu; licensee InTech. This is a paper distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,

distribution, and reproduction in any medium, provided the original work is properly cited.

Gabriela Prelipcean and Mircea Boscoianu

Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/3371

**1. Introduction**

types of errors.

tion, is better in this emerging context.

**Intelligent Decision Making Process: Hybrid Decision**
