A method for optimal material selection aided with decision making theory

By Dong-Hyun Jee, Ki-Ju Kang. 2000

321 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Industrial and Manufacturing Engineering, Social Psychology

View Paper: https://www.semanticscholar.org/paper/1bd732cf9ddd710aceceb653cf9c5a066e467ce7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Yusof Ismail
2. S. Sapuan
3. Marjan Bahraminasab
4. Ali Jahan
5. Faizal Bin Mustapha

In Industrial and Manufacturing Engineering

1. Ali Jahan
2. Marjan Bahraminasab
3. S. Sapuan
4. Faizal Bin Mustapha
5. Yusof Ismail
6. Md. Yusof B. Ismail
7. Shankar Chakraborty
8. Prasenjit Chatterjee

In Social Psychology

1. Yusof Ismail
2. S. Sapuan
3. Marjan Bahraminasab
4. Ali Jahan
5. Faizal Bin Mustapha

Citations in the corpus

• Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach (2009, background): “It will help designers to select suitable materials to develop sustainable products [12,13].”
• A comprehensive VIKOR method for material selection (2011, methodology): “A lot of normalizationmethods has beendeveloped for cost andbenefit criteria; Jee and Kang used [12] linear normalization-summethod instead of vector normalization procedure in TOPSIS and Milani”
• Fuzzy hierarchical TOPSIS for supplier selection (2009, unknown): “Numerous applications of TOPSIS exist, including airline performance evaluating [2] and optimal material selection [14].”
• A framework for weighting of criteria in ranking stage of material selection process (2012, methodology): “Moreover, according to Jee and Kang [ 9 ], the procedure of material selection should be objective in order to minimize personal bias and time of a new product design.”