A Combined AHP-PROMETHEE Approach for Intelligent Risk Prediction of Leak in a Storage Tank

Ikwan, Favour; Sanders, David; Haddad, Malik

doi:10.30699/IJRRS.3.2.7

A Combined AHP-PROMETHEE Approach for Intelligent Risk Prediction of Leak in a Storage Tank

Document Type : Original Research Article

Authors

Favour Ikwan ¹

David Sanders ²

Malik Haddad ¹

¹ Systems Engineering Research Group, University of Portsmouth, United Kingdom

² Systems Engineering Research Group Anglesea Building Anglesea Road, University of Portsmouth, United Kingdom

10.30699/IJRRS.3.2.7

Abstract

This paper describes the use of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method for predicting the risk of leakage in a storage tank. This is the first time AHP and PROMETHEE have been used in this way. Important decisions about day to day operations are continually made in a petroleum environment. Storage tanks in reﬁneries contain large volumes of ﬂammable and hazardous liquids. Decision processes need to evaluate and select alternatives with a higher probability of resulting in a hazard, among many different alternatives. The new model described in this paper will aid decision-makers to predict which tank is likely to develop a leak and determine what criteria (source of risk) could result in a leak. Although the case study deals with a specific risk prediction problem, the combination of AHP and PROMETHEE methods can be applied to other decision problems.

Keywords

AHP

Decision making

Multi-criteria analysis

PROMETHEE

Risk prediction

Subjects

Reliability Engineering

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