Decision making model for material selection using a hybrid MCDM technique

Jajimoggala, Sarojini; Karri, Ram Rahul

doi:10.1504/ijads.2013.053273

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…Cavallini et al (2013) integrated house of quality and comprehensive VIKOR method to develop a novel model for material selection. To select the material for an impellor, a hybrid fuzzy AHP and TOPSIS methods have been developed that finally AISI 4340 was the best material (Jajimoggala and Karri, 2013). AHP were utilised for material evaluation program as a powerful and flexible decision-making tool to get priorities when both tangible and non-tangible aspects of a decision need to be considered (Dweiri and Al-Oqla, 2006).…”

Section: Materials Selection Research Reviewmentioning

confidence: 99%

New approach to select materials using MADM tools

Yazdani

2018

IJBSR

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Revolutionary attitude of researchers to invent and develop decision-making support tools has been increased for years. Effective methods and models are created to fulfil experts, engineers and managers skill for better and distinct solution. This paper proposes two new multi-attribute decisionmaking methods to indicate applicability and performance of them in area of design and material. Factor relationship (FARE) is introduced for first time in material evaluation field to elaborate weights of material criteria. This method resolves the problem of pairwise comparison judgement which naturally happens for decision makers and addresses more accurate rate of decision criteria. In order to assess materials and sort them according their performance and technical properties, weighted aggregated sum product assessment (WASPAS) method is acquired. The proposed approach is applied in hard magnetic material selection. In the final part of the paper, some tests (e.g., using normalisation tool and correlation coefficient) are handled to conform and validate obtained results.

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Section: Materials Selection Research Reviewmentioning

confidence: 99%

New approach to select materials using MADM tools

Yazdani

2018

IJBSR

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“…In their study, Huang et al studied more than three hundred environmental project papers and concluded that there is an increase in the application of MCDA. Huang et al identified the methods used the most in environmental analysis; analytic hierarchy process (Saaty, 2006), MAUT (Beccacece & Borgonovo, 2011;Brito, de Almeida, & Mota, 2010;Gomes et al, 2011;Liu, Walshe, Long, & Cook, 2012), and outranking (Jajimoggala & Karri 2013). Geng and Wardlaw (2013) identified the MCDMs most used in environmental management are compromise programming (Zarghami & Szidarovszky 2010), goal programming (Liao & Kao, 2010), and AHP (Saaty, 2006).…”

Section: An Overview Of Mcdm Processesmentioning

confidence: 99%

Applying the Analytic Hierarchy Process to Oil Sands Environmental Compliance Risk Management

Roux

2016

IJAHP

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<p>In 2013, oil companies in Alberta, Canada invested $32 billion in new oil-sands projects. Despite the size of this investment, there is a demonstrable deficiency in the uniformity and understanding of environmental legislation requirements that translate into increased project compliance risks. In this paper, we applied the Analytic Hierarchy Process (AHP) to develop a priority list of environmental regulatory compliance risk criteria for oil-sands projects. AHP belongs to the family of multicriteria decision-making (MCDM) techniques that utilizes a pairwise comparison matrix solicited from subject matter experts (SMEs) in the field as input. The overall methodology itself consisted of 4 phases: (1) identification of the initial list of N potential environmental compliance risk criteria and verification of these criteria via a pilot survey; (2) formation of a pairwise comparison survey in the form of an N(N-1)/2 comparison matrix based on the verified criteria; (3) administration of the pairwise comparison matrix to a sample of 16 industry-specific SME’s; and (4) the application of the AHP method using SuperDecisions as a tool on the collected sample to rank the identified risk criteria. Our demonstrated results can potentially inform Alberta oil sands industry leaders about the ranking and utility of specific compliance risks as understood by experts and enable a more focused environmental compliance action to help increase legislative and public trust.</p>

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“…To improve the decision-making process, researcher went even further to hybrid models of TOPSIS and AHP which were applied for selection and ranking in multi-criteria problems such as selection of materials used to produce end products with high quality and acceptable cost (Jajimoggala and Karri, 2013;Shahin and Pourhamidi, 2013). Although TOPSIS is one of the most important approaches in MCDM, it is deficient to deal with the ambiguity in decision-making even with the integrated fuzzy TOPSIS.…”

Section: Introductionmentioning

confidence: 99%

Ranking risk attitudes using an integrated AHP-TOPSIS approach

Obaid¹,

Abuzaid²,

Dalalah³

et al. 2022

IJADS

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Due to the ambiguity between risk attitudes, this study aims at ranking the different risk attitudes considering the factors that affect the behaviour of the decision-makers. Both the technique for order preference by similarity to ideal solution (TOPSIS) and analytical hierarchy process (AHP) are employed to address the characteristics of risk attitudes aiming to highlight the criteria significance and finally to rank the most impactful risk attitude. It was found that regret aversion and risk aversion attitudes have higher impact in real life decision-making problems. In contrast, the maximin and maximax risk attitudes have the lowest importance. Risk seeking and regret aversion attitudes demonstrated the highest importance using TOPSIS of equal-weights while the importance of loss aversion and regret aversion have the highest for the AHP-TOPSIS approach. The results of this study can be beneficial for decision-makers who encounter a variety of risk attitudes in their decision problems.

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Decision making model for material selection using a hybrid MCDM technique

Cited by 10 publications

References 21 publications

New approach to select materials using MADM tools

New approach to select materials using MADM tools

Applying the Analytic Hierarchy Process to Oil Sands Environmental Compliance Risk Management

Ranking risk attitudes using an integrated AHP-TOPSIS approach

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