An adaptive group decision pattern and its use for industrial security management

Heiko Thimm; Robert Katura

doi:doi:10.11648/j.ajep.20120101.11

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An adaptive group decision pattern and its use for industrial security management

Heiko Thimm, Robert Katura

Published in American Journal of Environmental Protection (Volume 1, Issue 1)

Published: 30 December 2012

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Abstract

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.

Published in	American Journal of Environmental Protection (Volume 1, Issue 1)
DOI	10.11648/j.ajep.20120101.11
Page(s)	1-8
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2012. Published by Science Publishing Group

Keywords

Hazardous Material Management, Security Incident Management, Group Decision Making, Analytical Hie-rarchy Process (AHP), Process Modeling

References

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APA Style

Heiko Thimm, Robert Katura. (2012). An adaptive group decision pattern and its use for industrial security management. American Journal of Environmental Protection, 1(1), 1-8. https://doi.org/10.11648/j.ajep.20120101.11

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Heiko Thimm; Robert Katura. An adaptive group decision pattern and its use for industrial security management. Am. J. Environ. Prot. 2012, 1(1), 1-8. doi: 10.11648/j.ajep.20120101.11

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Heiko Thimm, Robert Katura. An adaptive group decision pattern and its use for industrial security management. Am J Environ Prot. 2012;1(1):1-8. doi: 10.11648/j.ajep.20120101.11

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@article{10.11648/j.ajep.20120101.11,
  author = {Heiko Thimm and Robert Katura},
  title = {An adaptive group decision pattern and its use for industrial security management},
  journal = {American Journal of Environmental Protection},
  volume = {1},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.ajep.20120101.11},
  url = {https://doi.org/10.11648/j.ajep.20120101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20120101.11},
  abstract = {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.},
 year = {2012}
}

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TY  - JOUR
T1  - An adaptive group decision pattern and its use for industrial security management
AU  - Heiko Thimm
AU  - Robert Katura
Y1  - 2012/12/30
PY  - 2012
N1  - https://doi.org/10.11648/j.ajep.20120101.11
DO  - 10.11648/j.ajep.20120101.11
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
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EP  - 8
PB  - Science Publishing Group
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AB  - 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.
VL  - 1
IS  - 1
ER  -

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Author Information

Heiko Thimm

Pforzheim University, School of Engineering, Pforzheim, Germany
Robert Katura

Pforzheim University, School of Engineering, Pforzheim, Germany

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APA Style

Heiko Thimm, Robert Katura. (2012). An adaptive group decision pattern and its use for industrial security management. American Journal of Environmental Protection, 1(1), 1-8. https://doi.org/10.11648/j.ajep.20120101.11

Copy | Download

ACS Style

Heiko Thimm; Robert Katura. An adaptive group decision pattern and its use for industrial security management. Am. J. Environ. Prot. 2012, 1(1), 1-8. doi: 10.11648/j.ajep.20120101.11

Copy | Download

AMA Style

Heiko Thimm, Robert Katura. An adaptive group decision pattern and its use for industrial security management. Am J Environ Prot. 2012;1(1):1-8. doi: 10.11648/j.ajep.20120101.11

Copy | Download

@article{10.11648/j.ajep.20120101.11,
  author = {Heiko Thimm and Robert Katura},
  title = {An adaptive group decision pattern and its use for industrial security management},
  journal = {American Journal of Environmental Protection},
  volume = {1},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.ajep.20120101.11},
  url = {https://doi.org/10.11648/j.ajep.20120101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20120101.11},
  abstract = {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.},
 year = {2012}
}

Copy | Download

TY  - JOUR
T1  - An adaptive group decision pattern and its use for industrial security management
AU  - Heiko Thimm
AU  - Robert Katura
Y1  - 2012/12/30
PY  - 2012
N1  - https://doi.org/10.11648/j.ajep.20120101.11
DO  - 10.11648/j.ajep.20120101.11
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20120101.11
AB  - 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.
VL  - 1
IS  - 1
ER  -

Copy | Download