An adaptive group decision pattern and its use for industrial security management
American Journal of Environmental Protection
Volume 1, Issue 1, December 2012, Pages: 1-8
Received: Dec. 20, 2012;
Published: Dec. 30, 2012
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Heiko Thimm, Pforzheim University, School of Engineering, Pforzheim, Germany
Robert Katura, Pforzheim University, School of Engineering, Pforzheim, Germany
In response to critical events Security Management Organizations (SMO) need to follow plans. Among others response plans can require decisions to be made by several SMO people. For security situations with a not too high time pressure it is possible to repeatedly perform a decision making process that includes decision makers that are separated by time and space. The better understanding and new information obtained in a decision process cycle by corresponding adaptations of the decision process and the underlying decision model can be exploited in the next following process cycle. This adaptive group decision pattern can lead to better decision results. In order to not over-challenge a SMO by the extra group coordination and moderation efforts of this pattern one can make use of a Group Decision Support System (GDSS) with special enhancements for this pattern. In this article a respective new group decision pattern is introduced and demonstrated in combination with an enhanced GDSS through a fictive industrial security case example. A process model for security incident management and a process model for adaptive complete asynchronous group decision making are described using the BPMN2.0 graphical process modeling standard. A research prototype of the assumed GDSS that is enhanced to support the new group decision making pattern is currently implemented.
An adaptive group decision pattern and its use for industrial security management, American Journal of Environmental Protection.
Vol. 1, No. 1,
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