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

Favour Ikwan,David Sanders,Malik Haddad

doi: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.

Highlights

This paper describes the use of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) method for predicting the risk in a storage tank
A model with 4 criteria divided into 12 sub-criteria was created to select the storage tank with the highest probability of a leak
This paper described a new hybrid model created by combining two decision methods: AHP and PROMETHEE

Summary

Introduction*

This paper describes the use of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) method for predicting the risk in a storage tank. This is the first time AHP and PROMETHEE have been used as a hybrid model in this way.

PROMETHEE methods applied the following steps:

Findings

Conclusion