2019
DOI: 10.1142/s0219622018500372
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Prioritizing and Optimizing Disaster Recovery Solution using Analytic Network Process and Multi Attribute Utility Theory

Abstract: Selection of a suitable disaster recovery solution is an essential activity performed in an enterprise to facilitate recovery of critical business functions and Information Technology (IT) systems within a tolerable time limit known as disaster recovery time (DRT). The estimation of optimal DRT plays a significant role in IT as it influences overall costs required to ensure business continuity. The estimation of optimal DRT depends upon the capabilities of a chosen disaster recovery solution and multiple confl… Show more

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Cited by 4 publications
(1 citation statement)
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“…Ma and Wu [9] proposed a fuzzy ANP method based on linear objective programming model, which is used to determine the fuzzy global priority. Gupta et al [10] came up with an combined method to select the best disaster retrieval solution using ANP and assessing optimal disaster recovery time using Multi-Attribute Utility Theory (MAUT). This paper presents an evaluation model based on ANP, and establishes a universal risk evaluation method system for MWTCs.…”
Section: Introductionmentioning
confidence: 99%
“…Ma and Wu [9] proposed a fuzzy ANP method based on linear objective programming model, which is used to determine the fuzzy global priority. Gupta et al [10] came up with an combined method to select the best disaster retrieval solution using ANP and assessing optimal disaster recovery time using Multi-Attribute Utility Theory (MAUT). This paper presents an evaluation model based on ANP, and establishes a universal risk evaluation method system for MWTCs.…”
Section: Introductionmentioning
confidence: 99%