Issue |
MATEC Web Conf.
Volume 121, 2017
8th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|
|
---|---|---|
Article Number | 07001 | |
Number of page(s) | 7 | |
Section | Management and Economic Engineering | |
DOI | https://doi.org/10.1051/matecconf/201712107001 | |
Published online | 09 August 2017 |
Solutions to improve the decision-making process for dynamic allocation of resources in military pre-conflict environments
1 Transilvania University of Brasov, Department of EIM, 5 M. Viteazul, Brasov, Romania
2 ”Henri Coanda” Air Force Academy, FSM Department, 160 M. Viteazul, Brasov, Romania
* Corresponding author: danut.balos@gmail.com
The complexity of the international security environment compels us to analyse the dynamics of the civil-military decision making process regarding the optimal allocation and efficient use of resource units (UoR). The main purpose of this paper is to improve the civil-military decision-making process by analysing from a dynamic perspective the influence of uncertainty on UoR allocation, thus providing a fast intuitive image of resource ratio. To achieve this goal, risk and uncertainty are defined in terms of knowledge (total or partial) of possible future events or potential outcomes of the action/ decision. The decision alternatives capitalize the results obtained by the optional (the real options analysis in conditions of uncertainty) and flexibility (the prediction of transition moment according to the life cycle of resources). Moreover, these findings could have a positive effect across the full range of economic sectors.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.