Selection of coating material for magnesium alloy using Fuzzy AHP-TOPSIS

Prasad, Resmi V; Rajesh, R.; Thirumalaikumarasamy, D.

doi:10.1007/s12046-019-1261-3

Cited by 14 publications

(9 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in recent years, much attention was given to MCDM as a viable material selection tool. This includes popular models such as analytical hierarchy process (AHP), 5–10 analytical network process (ANP), 11 , 12 elimination and choice expressing the reality (ELECTRE), 13–16 organization method for enrichment evaluations (PROMETHEE), 17–21 Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR), 22–25 technique of ranking preferences by similarity of the ideal solutions (TOPSIS), 21 , 26–29 and other individual or integrated MCDM method.…”

Section: Introductionmentioning

confidence: 99%

“…56 Similarly, Prasad et al. 5 consider qualitative and risk factors during their studies on selecting coating material magnesium alloy. They developed hybrid MCDM approach where the fuzzy-AHP is applied to obtain weight of criteria and the alternative is ranked using TOPSIS.…”

Section: Introductionmentioning

confidence: 99%

“…Prasad et al. 5 applied fuzzy AHP-TOPSIS in determining the most suitable coating material for magnesium alloy. They concluded that the technique increased the accuracy of decision-making process, particularly where technical criteria evaluation clouded with uncertainty in evaluating performance (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

“…"In solving a multi criteria decision making problems the decision environment affects the decision outcome in which the criteria knowledge is known or uncertain. So the decision making environment are classified into three types: certain, uncertain and risk" (Prasad et al, 2020). "AHP is a practical tool that incorporate both qualitative and quantitative factors into decision making process.…”

Section: Literature Reviewmentioning

confidence: 99%

Vendor Selection by Analytic Hierarchy Process (AHP) in Livestock Trading Ecosystem

Prashant¹

2021

pae

View full text Add to dashboard Cite

As livestock plays a very crucial role in Indian economy. Livestock trading in India is very unstructured. The Buyer can be farmer or Diary farm owner who wants to procure a livestock. In this research the Livestock which is considered is the Murrah buffalo belong to water buffalo (Bubalus bubalis) breed which are mainly kept for milk production. The buyer is available with 8 suppliers which are fulfilling the same criteria of the breed. The Suppliers are divided into two segments, large scale supplier and small scale supplier. The supplier having more than 10 livestock of same breed has been considered large scale supplier, and the supplier having less than or equal to 10 has been considered small scale supplier. As competition is increasing every day the procurement activities are highly important. So, Multi criteria decision making approach has been used. Specifically, Analytic Hierarchy Process has been used for the selection of vendor among the alternatives available. In this research three criteria, seven sub criteria and eight alternatives has been evaluated. All vendors are ranked according to the result obtained from the AHP to aid the decision making. By implementation of AHP we were able to obtain the best fit vendor. AHP is a practical tool used for aiding the decision making when there are too many parameters. In Livestock trading ecosystem this tool will help in decision making

show abstract

“…Suitable coating material for AISI4140 steel was selected using the TOPSIS method to improve the tribological properties of the steel, and the criteria weight was calculated using the entropy method (Pahan et al 2018). 316 SS coating material was selected as the best suitable material using the AHP-TOPSIS method to improve the corrosion resistance of magnesium alloy (Prasad et al 2020). Robinson et al (1993) were employed a PRECEPT knowledge-based computer system to select a suitable coating material to reduce the wear of surfaces and improve the corrosion resistance.…”

Section: Related Workmentioning

confidence: 99%

Application of integrated BWM Fuzzy-MARCOS approach for coating material selection in tooling industries

Kumar

Maity

Patnaik

2021

Preprint

View full text Add to dashboard Cite

The life of metal forming dies, and the efficiency of tooling industries depends on the mechanical and wear properties of tool steel. These properties can be further improved by depositing the ceramic coating on heat-treated tool steel. There are many coating materials available with numerous excellent properties. But problem is how to select the best coating material. Compared to various studies related to material selection problems in the contrasting area of utilization, remarkably, few research work is done in tooling industries. In the present work, we have identified eight coating materials (alternatives) and nine evaluation criteria under the consultation of an expert in the tooling application and tribological field. To deal with this coating material selection problem, an integrated fuzzy-MADM method is proposed comprising BWM and fuzzy-MARCOS. This integrated fuzzy-MADM method is used to evaluate the alternative, and the obtained results are scrutinized under extensive use of sensitivity analysis. In the first phase of analysis, seven scenarios of criteria weight change are used, which is derived by the BWM method; dynamic matrices are used in the second phase of analysis. In the third and fourth phases, obtained ranks are compared with those obtained by different weight calculation methods and ranking methods, respectively. All the phases have similar results, i.e., AlCrN/TiAlN coating (alternative Cm5) is the best coating material. What is more, the proposed method has been used to solve the published results of coating material selection. To evaluate its reliability and robustness, a four phases comparative sensitivity analysis was performed.

show abstract

Selection of coating material for magnesium alloy using Fuzzy AHP-TOPSIS

Cited by 14 publications

References 20 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

Vendor Selection by Analytic Hierarchy Process (AHP) in Livestock Trading Ecosystem

Application of integrated BWM Fuzzy-MARCOS approach for coating material selection in tooling industries

Contact Info

Product

Resources

About