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

Research output: Contribution to journal › Article › peer-review

This paper describes the use of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method for predicting 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.
Original languageEnglish
JournalInternational Journal of Reliability, Risk & Safety
Early online date18 Nov 2020
Publication statusEarly online - 18 Nov 2020

Documents

  • A Combined AHP-PROMETHEE Approach

    Rights statement: The original publication will be available at www.IJRRS.com.

    Accepted author manuscript (Post-print), 477 KB, PDF document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 18/05/21

    Licence: Unspecified

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URL: http://www.ijrrs.com/article_119488.html

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