

Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria Decision Making
(*) Corresponding author
DOI: https://doi.org/10.15866/ireaco.v11i2.13559
Abstract
The disaster recovery model has been considered as an appropriate solution in providing data backup if a disaster occurs especially in data center. However, selecting the required disaster recovery model based on functionality or usability, and the financial budget in manufacturing industry is not easy. It requires a method that can be used for technology selection. Top management has options for making decisions based on subjective assessments to select the appropriate disaster recovery model. An information systems typically support decision making process by offering the best alternative solutions. Multi Criteria Decision Making approach using Analytic Hierarchy Process method is proposed to support the decision support system.Results of this study are to provide a model of disaster recovery that can be chosen appropriately in accordance with desired criteria.
Copyright © 2018 Praise Worthy Prize - All rights reserved.
Keywords
References
M. F. Afif and T. Suryono, “Implementasi Disaster Recovery Plan dengan sistem Fail Over menggunakan drbd dan Heartbeat pada data center fkip uns,” IJNS-Indonesian J. Netw. Secur., vol. 1, no. 1, 2013.
T. Wood, E. Cecchet, K. K. Ramakrishnan, P. J. Shenoy, J. E. van der Merwe, and A. Venkataramani, “Disaster Recovery as a Cloud Service: Economic Benefits & Deployment Challenges.,” HotCloud, vol. 10, pp. 8–15, 2010.
J. Pinta, “Disaster recovery planning as part of business continuity management,” Agris on-line Pap. Econ. Informatics, vol. 3, no. 4, p. 55, 2011.
M. Alabdulwahab, “Disaster Recovery and Business Continuity.”, International Journal of Scientific & Engineering Research, Volume 7, Issue 3, March-2016, pp. 322-327.
T. U. Daim, A. Bhatla, and M. Mansour, “Site selection for a data centre--a multi-criteria decision-making model,” Int. J. Sustain. Eng., vol. 6, no. 1, pp. 10–22, 2013.
http://dx.doi.org/10.1080/19397038.2012.719554
Y. Gu, D. Wang, and C. Liu, “DR-Cloud: Multi-cloud based disaster recovery service,” Tsinghua Sci. Technol., vol. 19, no. 1, pp. 13–23, 2014.
http://dx.doi.org/10.1109/tst.2014.6733204
C.-L. Yang, B. J. C. Yuan, and C.-Y. Huang, “Key determinant derivations for information technology disaster recovery site selection by the multi-criterion decision making method,” Sustainability, vol. 7, no. 5, pp. 6149–6188, 2015.
http://dx.doi.org/10.3390/su7056149
D. L. . Ascough II, J. C.; Rector, H. D.; Hoag, “Multicriteria Spatial Decision Support Systems: Overview, Applications, and Future Research Directions,” Conf. Integr. Assess. Decis. Support, vol. 3, no. 1, pp. 175–180, 2002.
J. Ananda and G. Herath, “A critical review of multi-criteria decision making methods with special reference to forest management and planning,” Ecol. Econ., vol. 68, no. 10, pp. 2535–2548, 2009.
http://dx.doi.org/10.1016/j.ecolecon.2009.05.010
T. L. Saaty, “Fundamentals of the analytic hierarchy process,” in The analytic hierarchy process in natural resource and environmental decision making, Springer, 2001, pp. 15–35.
http://dx.doi.org/10.1007/978-94-015-9799-9_2
P. Cabała, “Using the analytic hierarchy process in evaluating decision alternatives,” Oper. Res. Decis., vol. 20, no. 1, pp. 5–23, 2010.
S. K. Patil and R. Kant, “A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers,” Expert Syst. Appl., vol. 41, no. 2, pp. 679–693, 2014.
http://dx.doi.org/10.1016/j.eswa.2013.07.093
M. Erdogan and others, “An integrated multi-criteria decision-making methodology based on type-2 fuzzy sets for selection among energy alternatives in Turkey,” Iran. J. Fuzzy Syst., vol. 12, no. 1, pp. 1–25, 2015.
W. R. Susila and E. Munadi, “Penggunaan Analytical Hierarchy Process untuk Penyusunan Prioritas Proposal Penelitian,” J. Inform. Pertan., vol. 16, no. 2, pp. 983–998, 2007.
N. H. Zardari, K. Ahmed, S. M. Shirazi, and Z. Bin Yusop, “Literature Review,” in Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management, Springer, 2015, pp. 7–67.
http://dx.doi.org/10.1007/978-3-319-12586-2
Refbacks
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
- » Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria
Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2023 Praise Worthy Prize