Multi-criteria decision-making approaches for aircraft-material selection problem

2022 ◽  
Vol 64 (1) ◽  
pp. 45
Author(s):  
Aslı Çalış Boyacı ◽  
Mehmet Çağrı Tüzemen
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
Selection Problem ◽  
Multi Criteria Decision Making ◽  
Aircraft Material

An Improved TOPSIS Method for Material Selection Model

2014 ◽  
Vol 951 ◽  
pp. 120-123
Author(s):  
Wei Fan Huang
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Material Science ◽  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Science Field

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.

Material Selection Using a Novel Multiple Attribute Decision Making Method

2012 ◽  
pp. 252-266
Author(s):  
R. V. Rao ◽  
B. K. Patel
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Maker ◽  
Design Process ◽  
Material Selection ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Selection Of

Selection of a most appropriate material is a very important task in design process of every product. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. This paper proposes a novel multiple attribute decision making (MADM) method for solving the material selection problem. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Two examples are presented to illustrate the potential of the proposed method.

A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study

Energy ◽  
2018 ◽  
Vol 165 ◽  
pp. 1085-1096 ◽  
Author(s):  
Kun Yang ◽  
Neng Zhu ◽  
Chen Chang ◽  
Daquan Wang ◽  
Shan Yang ◽  
...  
Keyword(s):  
Decision Making ◽  
Phase Change ◽  
Phase Change Material ◽  
Material Selection ◽  
Multi Criteria Decision Making ◽  
Change Material

scholarly journals Thermoplastic Matrix Material Selection Using Multi Criteria Decision Making Method for Hybrid Polymer Composites

2014 ◽  
Vol 564 ◽  
pp. 439-443 ◽  
Author(s):  
Muhd Ridzuan Mansor ◽  
S.M. Sapuan ◽  
Edi Syam Zainudin ◽  
A.A. Nuraini ◽  
Arep Ariff Hambali
Keyword(s):  
Decision Making ◽  
Polymer Composites ◽  
Natural Fiber ◽  
Material Selection ◽  
Selection Process ◽  
Matrix Material ◽  
Final Decision ◽  
Multi Criteria Decision Making ◽  
Hybrid Polymer ◽  
Thermoplastic Matrix

Multi criteria decision making (MDCM) methods are amongst the approaches available in aiding composite designers to make the final decision especially during the material selection process where multiple solutions are present and various requirements are required to be satisfied simultaneously. Thus, in this paper, material selection process of thermoplastic matrix using MDCM methods for hybrid natural fiber/glass fiber polymer composites is presented. The aim is to identify the most suitable type of thermoplastic matrix to be used in the hybrid polymer composites formulation. The Weighted Sum Method (WSM) is applied in the selection process of seven candidate thermoplastic matrix materials based on the product design specifications. The overall analysis highlights that low density polyethylene (LDPE) is the preferred matrix for the intended application based on the highest scores obtained compared to other candidate materials. A signal-to-noise (S/N) ratio analysis was further performed to validate the initial selection results where LDPE once again outperformed other candidate materials with highest S/N ratio score in the non-compensatory approach.

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