Materials Selection Method Combined with Different MADM Methods

Yang, Wanling; Chon, Son-Hak; Choe, Chol-Min; Kim, Un-Ha

doi:10.32604/jai.2019.07885

Cited by 15 publications

(22 citation statements)

References 23 publications

(23 reference statements)

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“…The entropy method to determine the attribute weights is as follows 3 Normalize the decision matrix X = ( x ij ) n × p to R = ( r ij ) n × p . Calculate the proportions of the attribute: Calculate the entropy values of the attributes ej=−1lnn∑i=1n[pijlnpij],j=1,2,…,p. …”

Section: Methodsmentioning

confidence: 99%

“…The MADM method ranks the alternatives and then recommends the highest ranked one as the best alternative to the decision maker. 1–3 Materials selection is a MADM problem that materials engineers have to select the optimal material to achieve good properties among two or more alternative materials on the basis of two or more attributes.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al. 3 proposed the materials selection method combined with different MADM methods and applied it to select optimal magnesium alloy material for automotive wheels. Teraiya et al.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A quantitative and intuitive materials selection multi-attribute decision-making method based on quadrant circular constellation graph

Yang¹,

Kim²,

Ji-Yon³

2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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Traditional constellation graphical method maps a multidimensional data into a 2D graph. In this paper, the drawback of the traditional semi-circular constellation graph is considered and a quadrant circular constellation graph is proposed to overcome the drawback. Moreover, a new materials selection MADM (multi-attribute decision making) method is proposed based on the quadrant circular constellation graph. This method is applied to select the best magnesium alloy material for automotive wheels. The numerical and graphical results show that AZ91 is the optimal material among the alternative materials such as AZ91, AM60, AM50, AZ31, ZE41, EZ33, ZE63 and ZC63. The result is compared with the results from the previous MADM methods from the viewpoint of Spearman’s rank correlation and deviation. Additionally, a sensitivity analysis to attribute weights is performed to test the robustness of the proposed method. Experimental results demonstrate that the proposed method is superior to the previous MADM methods. The proposed method is not only quantitative but also intuitive method. It could be widely used to materials selection problems in engineering practice.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A quantitative and intuitive materials selection multi-attribute decision-making method based on quadrant circular constellation graph

Yang¹,

Kim²,

Ji-Yon³

2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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show abstract

“…Therefore, to determine the final ranking of alternative materials, membership degree method is used. 38 Major steps involved in this method is as follows, however, full details of this method can be found in Yang et al. 38…”

Section: Methodsmentioning

confidence: 99%

Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid Goal Programming Model for Best Worst Method–Proximity Indexed Value method

Wakeel

Bingöl

Bashir³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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Selection of the most suitable sustainable material to fulfill the requirements of a product in a specific application is a complex task. Material selection problems are basically multi-criteria decision making problems as selection of the optimal material is based on the evaluation of conflicting criteria. Considering the limitations such as ranking reversal problem of the various multi-criteria decision making methods available in the literature, a combination of two recently developed techniques, i.e. the Goal Programming Model for Best Worst Method and Proximity Indexed Value method, is employed in the present study. This hybrid method was used for selection of the best possible material for manufacturing of a complex automobile part for which F1 race car as advanced automotive and its gearbox casing as sensitive part was used. Available alternative materials considered in the present study are alloys of aluminum, magnesium, titanium, and carbon fiber/epoxy laminate. Whereas, criteria affecting gearbox casing’s performance are tensile strength/density, cost, stiffness, damping capacity, thermal conductivity, and sustainable criteria, such as CO2 emission and recycling energy. Goal Programming Model for Best Worst Method is used to determine weights of the criteria and Proximity Indexed Value method is employed for final selection of material. Furthermore, ranking of alternatives was also supported by other multi-criteria decision making methods namely, range of value, weighted product model, simple additive weighting, the technique for order of preference by similarity to ideal solution, a combined compromise solution, and the multi-attributive border approximation area comparison. Membership degree method was also employed to obtain the final optimal ranking of alternative materials from individual results of applied multi-criteria decision making methods. Besides, sensitivity analysis is done to validate reliability of the results and to determine the most critical evaluation criterion. The result of this study revealed that carbon fiber/epoxy laminate is the best alternative material.

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“…The FC material for TKR 4 m Porous NiTi shape memory alloy is ranked first with EWM and at the second rank with SDM, EWT and fuzzy AHP weight methods. The 4 m Porous NiTi shape memory alloy was also assigned rank 1 by [ 4 , 45 ]. For FC material for TKR, 7 m Ti alloys (Ti–6Al–4V) are at rank 1 with SDM and fuzzy AHP weight methods, rank 2 by EWM, and rank 4 by EWT.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

et al. 2021

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Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

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Materials Selection Method Combined with Different MADM Methods

Cited by 15 publications

References 23 publications

A quantitative and intuitive materials selection multi-attribute decision-making method based on quadrant circular constellation graph

A quantitative and intuitive materials selection multi-attribute decision-making method based on quadrant circular constellation graph

Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid Goal Programming Model for Best Worst Method–Proximity Indexed Value method

Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

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