Implementing Fuzzy TOPSIS on Project Risk Variable Ranking

Husin, Saiful; Fachrurrazi, Fachrurrazi; Rizalihadi, Maimun; Mubarak, Mubarak

doi:10.1155/2019/9283409

Cited by 16 publications

(9 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With their simplicity in giving ranking solutions under uncertain and fuzzy environments for MCDM problems, many fuzzy-TOPSIS methods have been developed and applications are receiving more interest particularly in risk project management and engineering field. 48–51…”

Section: Introductionmentioning

confidence: 99%

Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment

Rahim

Musa

Ramesh

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

View full text Add to dashboard Cite

This study presents the development of a fuzzy-TOPSIS multi-criteria decision-making (MCDM) model for material selection with integrated safety, health, and environment risk assessment. As safety, health, and environment is very much linked to sustainable design and manufacturing, it is imperative that safety, health, and environment is taken into consideration in ensuring a comprehensive and holistic material selection process. This paper shows the possibility of fuzzy logic utilization in assessing safety, health, and environment risk and proposed a methodology based on fuzzy-TOPSIS MCDM model for material selection suitable for the manufacturing sector. This method has the capability of producing a ranking result with strong reasonings. The proposed method facilitates the designer to select, evaluate, and rank material alternatives based on given attributes from design requirements and weighting given by the decision-makers. Additionally, the other benefits of the proposed methodology are the elimination of a complex structure and/or a black-box algorithm. The fuzzy-TOPSIS approach capable of considering not only the uncertainty related to qualitative judgments but also the uncertainty that may reside in the measurement of quantitative or qualitative parameters that exist within the safety, health, and environment risks assessment. A numerical example of selecting material for automotive body panels using the proposed method has been discussed.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment

Rahim

Musa

Ramesh

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

View full text Add to dashboard Cite

show abstract

“…Some researchers (Barghi and Shadrokh, 2020; Yazdani et al , 2019; Hatefi and Tamošaitienė, 2019; Liu and Wei, 2018; Norouzi and Namin, 2019) used the general risk classifications from the literature, and then asked the experts to assign risks to the predefined categories. Other authors (Serrano-Gomez and Munoz-Hernandez, 2019; Wang et al , 2018; Husin et al , 2019; Wu and Zhou, 2019) developed context-dependent risk classification, each with its assigned risk items. Present research uses the first approach because according to the authors’ best knowledge there is no comparable research in the turnaround maintenance project setting.…”

Section: Literature Review and Backgroundmentioning

confidence: 99%

Turnaround project risk assessment using hybrid fuzzy SWARA and EDAS method: case of upstream oil process industries in Iran

Moniri

Tabriz

Ayough

et al. 2020

JEDT

View full text Add to dashboard Cite

Purpose The purpose of this paper is to propose a new framework for assessing the risks of turnaround projects in upstream oil process plants. Design/methodology/approach This study represents a new hybrid framework for turnaround project risk assessment. First, according to experts’ opinions, the project risks were identified using interviews and brainstorming. The most important risks selected by experts and a hybrid multiple-attribute decision-making (MADM) method used to assess and prioritize them. The proposed MADM method uses fuzzy step-wise weight assessment ratio analysis (SWARA) and fuzzy evaluation based on distance from average solution (EDAS) methods based on trapezoidal fuzzy numbers. Findings In this research, 28 usual risks of turnaround projects are identified and 10 risks are then selected as the most important ones. The findings show, that among the risks of upstream oil industry turnaround projects from the perspective of experts, the risk of timely financing by the employer, with an appraisal score of 0.83, has the highest rank among the risks and the risk of machine and equipment failure during operation, with an appraisal score of 0.04, has the lowest rank. Research limitations/implications The risk analysis based on inputs collected from the experts in the Iranian upstream oil industry, and so the generalization of the results is limited to the context of developing countries, especially oil producer ones. However, the proposed risk analysis methodology and key insights developed can be useful for researchers and practitioners in any other process industry everywhere. Originality/value A novel framework for risk assessment is introduced for turnaround projects in the oil industry using MADM methods. There is no literature on using MADM methods for turnaround project risk analysis in the oil and gas industries. Furthermore, this paper presents a hybrid fuzzy method based on SWARA and EDAS.

show abstract

“…Previous studies related to AHP and TOPSIS are AHP-TOPSIS Model to Evaluate Maintenance Strategy using RAMS and Production Parameters (Bona & Falcone, 2019). Implementing Fuzzy TOPSIS on Project Risk Variable Ranking (Husin, et al, 2019). Risk Assessment Using Fuzzy TOPSIS and PRAT for Sustainable Engineering Projects (Koulinas, et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Risk Analysis of Islamic State (IS) Network Development in Southeast Asia Based on 3D Matrix

Octavian¹,

Widjayanto²,

Putra³

et al. 2021

ijoqm

View full text Add to dashboard Cite

The threat of terror in Southeast Asia has been currently divided into three generations of terror: Al-Qaeda terror network, ISIS terror network and IS terror network.This study aims at providing a risk analysis on the development of the Islamic State network in Southeast Asia. This study employed Analytical Hierarchy Process (AHP) approach, TOPSIS. The AHP method is used to give weight to risk identification criteria. The TOPSIS method is used to provide the value analysis of threats, vulnerability, and impact in order to determine the threat-based risk level assessment, vulnerability, and the impact of the TOPSIS calculation results. The risk analysis of the development of Islamic State in Southeast Asia resulted three countries were categorized in the category of Low: Indonesia, Malaysia and Thailand. Indonesia has the value of risk factor of 0.170; Malaysia has the value of risk factor of 0.088 and Thailand has the value of risk factor of 0.176. On the other hand, the Philippines has the value of risk factor of 0.351 in the category of Guarded.

show abstract

Implementing Fuzzy TOPSIS on Project Risk Variable Ranking

Cited by 16 publications

References 49 publications

Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment

Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment

Turnaround project risk assessment using hybrid fuzzy SWARA and EDAS method: case of upstream oil process industries in Iran

Risk Analysis of Islamic State (IS) Network Development in Southeast Asia Based on 3D Matrix

Contact Info

Product

Resources

About