Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector

Sahar Mohammad Al Mashaqbeh; Jose Eduardo Munive Hernandez; Mohammad Khurshid Khan

doi:doi:10.11648/j.ijem.20180203.12

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Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector

Sahar Mohammad Al Mashaqbeh, Jose Eduardo Munive Hernandez, Mohammad Khurshid Khan

Published in International Journal of Engineering Management (Volume 2, Issue 3)

Received: 30 October 2018 Accepted: 21 November 2018 Published: 17 December 2018

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Abstract

Power plants are very important for continuous electricity energy supply and have been affected by many disruptions. Furthermore, the power grid is a critical item for both economy and society. Accordingly, the aim of this paper is to adopt a risk assessment tool combining an improved Failure Mode and Effect Analysis (FMEA), Analytical Hierarchy Process (AHP) and enhanced Risk Balance Score Card (RBSC) to model nine risk categories in the energy sector. The outputs of the improved FMEA methodology will be utilised as the inputs for the BSC-AHP framework. The improved FMEA methodology combines the exponential and weighted geometric mean to overcome some drawbacks of the conventional FMEA. The approach helps the top management in prioritising 84 risk indicators particularly, in power plants. The results of this model elucidate that the highest priority (most risky perspective) is for the supply chain perspective with 24.2% of the influence, followed by the internal and operational business process perspective with 18.4%. In this perspective, the technical risk is the key risk with 10.4% followed by the disruption risk with 9.4% while the lowest priority risk in this perspective is the project neglect risk with 2.5%. The sustainability perspective coming as the third priority perspective with 17.7%, where the environmental and safety health category covers about 41.7%, followed by the technological pillar with 35.5% and the social pillar with 22.8%. At the fourth level, the customer/demand perspective is coming with 14%, where the load forecasting risk has the highest priority in this perspective with 49%. The learning and growth perspective stay at the fifth level with 13% where the human resources risks category has more influence than the management risks category. The lowest risk perspective priority is the economic perspective with 12.7%. These results will help the top management in taking a holistic view of various non-technical risks at the strategic level and the priority for each one then, the suitable decision can be taken. The significance of this research is in presenting a novel improved for the traditional FMEA and combining it with the BSC-AHP methods to improve the risk assessment process of 84 risks of six perspectives of BSC in power plants at the strategic level.

Published in	International Journal of Engineering Management (Volume 2, Issue 3)
DOI	10.11648/j.ijem.20180203.12
Page(s)	58-66
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), 2024. Published by Science Publishing Group

Keywords

Exponential Weighed Geometric Mean (EWGM), FMEA, RPN, AHP and BSC

References

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[3]	J. Gonzalez, “Modelling and Controlling Risk in Energy Systems,” University of Manchester, 2015.
[4]	S. T. Chan, “IDENTIFYING RISK FACTORS IN THE GENERATING SECTION OF THE POWER PLANTS By,” no. May, 2009.
[5]	M. Garbuzova-schlifter and R. Madlener, “AHP-based risk analysis of energy performance contracting projects in Russia,” Energy Policy, vol. 97, pp. 559–581, 2016.
[6]	Y. Geng, J. Fu, J. Sarkis, and B. Xue, “Towards a national circular economy indicator system in China: An evaluation and critical analysis,” J. Clean. Prod., vol. 23, no. 1, pp. 216–224, 2012.
[7]	D. D. Wu and D. L. Olson, “Introduction to the special section on ‘optimizing risk management: Methods and tools,’” Hum. Ecol. Risk Assess., vol. 15, no. 2, pp. 220–226, 2009.
[8]	X. Liu and T. Arthanari, “A system dynamics model for managing corruption risks in dairy supply chains,” 34th Int. Conf. Syst. Dyn. Soc., pp. 1–17, 2016.
[9]	WEF, “Building Resilience in Supply Chain,” Geneva, 2013.
[10]	P. Burgherr, P. Eckle, and S. Hirschberg, “Comparative assessment of severe accident risks in the coal, oil and natural gas chains,” Reliab. Eng. Syst. Saf., vol. 105, pp. 97–103, 2012.
[11]	A. Samvedi, V. Jain, and F. T. S. Chan, “Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS,” Int. J. Prod. Res., vol. 51, no. 8, pp. 2433–2442, 2013.
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[16]	T. L. Saaty, “Decision making with the analytic hierarchy process,” Int. J. Serv. Sci., vol. 1, no. 1, p. 83, 2008.

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APA Style

Sahar Mohammad Al Mashaqbeh, Jose Eduardo Munive Hernandez, Mohammad Khurshid Khan. (2018). Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector. International Journal of Engineering Management, 2(3), 58-66. https://doi.org/10.11648/j.ijem.20180203.12

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ACS Style

Sahar Mohammad Al Mashaqbeh; Jose Eduardo Munive Hernandez; Mohammad Khurshid Khan. Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector. Int. J. Eng. Manag. 2018, 2(3), 58-66. doi: 10.11648/j.ijem.20180203.12

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AMA Style

Sahar Mohammad Al Mashaqbeh, Jose Eduardo Munive Hernandez, Mohammad Khurshid Khan. Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector. Int J Eng Manag. 2018;2(3):58-66. doi: 10.11648/j.ijem.20180203.12

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@article{10.11648/j.ijem.20180203.12,
  author = {Sahar Mohammad Al Mashaqbeh and Jose Eduardo Munive Hernandez and Mohammad Khurshid Khan},
  title = {Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector},
  journal = {International Journal of Engineering Management},
  volume = {2},
  number = {3},
  pages = {58-66},
  doi = {10.11648/j.ijem.20180203.12},
  url = {https://doi.org/10.11648/j.ijem.20180203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijem.20180203.12},
  abstract = {Power plants are very important for continuous electricity energy supply and have been affected by many disruptions. Furthermore, the power grid is a critical item for both economy and society. Accordingly, the aim of this paper is to adopt a risk assessment tool combining an improved Failure Mode and Effect Analysis (FMEA), Analytical Hierarchy Process (AHP) and enhanced Risk Balance Score Card (RBSC) to model nine risk categories in the energy sector. The outputs of the improved FMEA methodology will be utilised as the inputs for the BSC-AHP framework. The improved FMEA methodology combines the exponential and weighted geometric mean to overcome some drawbacks of the conventional FMEA. The approach helps the top management in prioritising 84 risk indicators particularly, in power plants. The results of this model elucidate that the highest priority (most risky perspective) is for the supply chain perspective with 24.2% of the influence, followed by the internal and operational business process perspective with 18.4%. In this perspective, the technical risk is the key risk with 10.4% followed by the disruption risk with 9.4% while the lowest priority risk in this perspective is the project neglect risk with 2.5%. The sustainability perspective coming as the third priority perspective with 17.7%, where the environmental and safety health category covers about 41.7%, followed by the technological pillar with 35.5% and the social pillar with 22.8%. At the fourth level, the customer/demand perspective is coming with 14%, where the load forecasting risk has the highest priority in this perspective with 49%. The learning and growth perspective stay at the fifth level with 13% where the human resources risks category has more influence than the management risks category. The lowest risk perspective priority is the economic perspective with 12.7%. These results will help the top management in taking a holistic view of various non-technical risks at the strategic level and the priority for each one then, the suitable decision can be taken. The significance of this research is in presenting a novel improved for the traditional FMEA and combining it with the BSC-AHP methods to improve the risk assessment process of 84 risks of six perspectives of BSC in power plants at the strategic level.},
 year = {2018}
}

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TY  - JOUR
T1  - Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector
AU  - Sahar Mohammad Al Mashaqbeh
AU  - Jose Eduardo Munive Hernandez
AU  - Mohammad Khurshid Khan
Y1  - 2018/12/17
PY  - 2018
N1  - https://doi.org/10.11648/j.ijem.20180203.12
DO  - 10.11648/j.ijem.20180203.12
T2  - International Journal of Engineering Management
JF  - International Journal of Engineering Management
JO  - International Journal of Engineering Management
SP  - 58
EP  - 66
PB  - Science Publishing Group
SN  - 2640-1568
UR  - https://doi.org/10.11648/j.ijem.20180203.12
AB  - Power plants are very important for continuous electricity energy supply and have been affected by many disruptions. Furthermore, the power grid is a critical item for both economy and society. Accordingly, the aim of this paper is to adopt a risk assessment tool combining an improved Failure Mode and Effect Analysis (FMEA), Analytical Hierarchy Process (AHP) and enhanced Risk Balance Score Card (RBSC) to model nine risk categories in the energy sector. The outputs of the improved FMEA methodology will be utilised as the inputs for the BSC-AHP framework. The improved FMEA methodology combines the exponential and weighted geometric mean to overcome some drawbacks of the conventional FMEA. The approach helps the top management in prioritising 84 risk indicators particularly, in power plants. The results of this model elucidate that the highest priority (most risky perspective) is for the supply chain perspective with 24.2% of the influence, followed by the internal and operational business process perspective with 18.4%. In this perspective, the technical risk is the key risk with 10.4% followed by the disruption risk with 9.4% while the lowest priority risk in this perspective is the project neglect risk with 2.5%. The sustainability perspective coming as the third priority perspective with 17.7%, where the environmental and safety health category covers about 41.7%, followed by the technological pillar with 35.5% and the social pillar with 22.8%. At the fourth level, the customer/demand perspective is coming with 14%, where the load forecasting risk has the highest priority in this perspective with 49%. The learning and growth perspective stay at the fifth level with 13% where the human resources risks category has more influence than the management risks category. The lowest risk perspective priority is the economic perspective with 12.7%. These results will help the top management in taking a holistic view of various non-technical risks at the strategic level and the priority for each one then, the suitable decision can be taken. The significance of this research is in presenting a novel improved for the traditional FMEA and combining it with the BSC-AHP methods to improve the risk assessment process of 84 risks of six perspectives of BSC in power plants at the strategic level.
VL  - 2
IS  - 3
ER  -

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Author Information

Sahar Mohammad Al Mashaqbeh

Department of Mechanical and Automotive Engineering, University of Bradford, Bradford, UK
Jose Eduardo Munive Hernandez

Department of Mechanical and Automotive Engineering, University of Bradford, Bradford, UK
Mohammad Khurshid Khan

Department of Mechanical Engineering, Abdul Wali Khan University, Mardan, Pakistan

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APA Style

Sahar Mohammad Al Mashaqbeh, Jose Eduardo Munive Hernandez, Mohammad Khurshid Khan. (2018). Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector. International Journal of Engineering Management, 2(3), 58-66. https://doi.org/10.11648/j.ijem.20180203.12

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ACS Style

Sahar Mohammad Al Mashaqbeh; Jose Eduardo Munive Hernandez; Mohammad Khurshid Khan. Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector. Int. J. Eng. Manag. 2018, 2(3), 58-66. doi: 10.11648/j.ijem.20180203.12

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AMA Style

Sahar Mohammad Al Mashaqbeh, Jose Eduardo Munive Hernandez, Mohammad Khurshid Khan. Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector. Int J Eng Manag. 2018;2(3):58-66. doi: 10.11648/j.ijem.20180203.12

Copy | Download

@article{10.11648/j.ijem.20180203.12,
  author = {Sahar Mohammad Al Mashaqbeh and Jose Eduardo Munive Hernandez and Mohammad Khurshid Khan},
  title = {Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector},
  journal = {International Journal of Engineering Management},
  volume = {2},
  number = {3},
  pages = {58-66},
  doi = {10.11648/j.ijem.20180203.12},
  url = {https://doi.org/10.11648/j.ijem.20180203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijem.20180203.12},
  abstract = {Power plants are very important for continuous electricity energy supply and have been affected by many disruptions. Furthermore, the power grid is a critical item for both economy and society. Accordingly, the aim of this paper is to adopt a risk assessment tool combining an improved Failure Mode and Effect Analysis (FMEA), Analytical Hierarchy Process (AHP) and enhanced Risk Balance Score Card (RBSC) to model nine risk categories in the energy sector. The outputs of the improved FMEA methodology will be utilised as the inputs for the BSC-AHP framework. The improved FMEA methodology combines the exponential and weighted geometric mean to overcome some drawbacks of the conventional FMEA. The approach helps the top management in prioritising 84 risk indicators particularly, in power plants. The results of this model elucidate that the highest priority (most risky perspective) is for the supply chain perspective with 24.2% of the influence, followed by the internal and operational business process perspective with 18.4%. In this perspective, the technical risk is the key risk with 10.4% followed by the disruption risk with 9.4% while the lowest priority risk in this perspective is the project neglect risk with 2.5%. The sustainability perspective coming as the third priority perspective with 17.7%, where the environmental and safety health category covers about 41.7%, followed by the technological pillar with 35.5% and the social pillar with 22.8%. At the fourth level, the customer/demand perspective is coming with 14%, where the load forecasting risk has the highest priority in this perspective with 49%. The learning and growth perspective stay at the fifth level with 13% where the human resources risks category has more influence than the management risks category. The lowest risk perspective priority is the economic perspective with 12.7%. These results will help the top management in taking a holistic view of various non-technical risks at the strategic level and the priority for each one then, the suitable decision can be taken. The significance of this research is in presenting a novel improved for the traditional FMEA and combining it with the BSC-AHP methods to improve the risk assessment process of 84 risks of six perspectives of BSC in power plants at the strategic level.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Hybrid Framework of, EWGM-FMEA, Analytical Hierarchy Process and Risk Balance Score Card for Risks Assessment in Energy Sector
AU  - Sahar Mohammad Al Mashaqbeh
AU  - Jose Eduardo Munive Hernandez
AU  - Mohammad Khurshid Khan
Y1  - 2018/12/17
PY  - 2018
N1  - https://doi.org/10.11648/j.ijem.20180203.12
DO  - 10.11648/j.ijem.20180203.12
T2  - International Journal of Engineering Management
JF  - International Journal of Engineering Management
JO  - International Journal of Engineering Management
SP  - 58
EP  - 66
PB  - Science Publishing Group
SN  - 2640-1568
UR  - https://doi.org/10.11648/j.ijem.20180203.12
AB  - Power plants are very important for continuous electricity energy supply and have been affected by many disruptions. Furthermore, the power grid is a critical item for both economy and society. Accordingly, the aim of this paper is to adopt a risk assessment tool combining an improved Failure Mode and Effect Analysis (FMEA), Analytical Hierarchy Process (AHP) and enhanced Risk Balance Score Card (RBSC) to model nine risk categories in the energy sector. The outputs of the improved FMEA methodology will be utilised as the inputs for the BSC-AHP framework. The improved FMEA methodology combines the exponential and weighted geometric mean to overcome some drawbacks of the conventional FMEA. The approach helps the top management in prioritising 84 risk indicators particularly, in power plants. The results of this model elucidate that the highest priority (most risky perspective) is for the supply chain perspective with 24.2% of the influence, followed by the internal and operational business process perspective with 18.4%. In this perspective, the technical risk is the key risk with 10.4% followed by the disruption risk with 9.4% while the lowest priority risk in this perspective is the project neglect risk with 2.5%. The sustainability perspective coming as the third priority perspective with 17.7%, where the environmental and safety health category covers about 41.7%, followed by the technological pillar with 35.5% and the social pillar with 22.8%. At the fourth level, the customer/demand perspective is coming with 14%, where the load forecasting risk has the highest priority in this perspective with 49%. The learning and growth perspective stay at the fifth level with 13% where the human resources risks category has more influence than the management risks category. The lowest risk perspective priority is the economic perspective with 12.7%. These results will help the top management in taking a holistic view of various non-technical risks at the strategic level and the priority for each one then, the suitable decision can be taken. The significance of this research is in presenting a novel improved for the traditional FMEA and combining it with the BSC-AHP methods to improve the risk assessment process of 84 risks of six perspectives of BSC in power plants at the strategic level.
VL  - 2
IS  - 3
ER  -

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