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Material Selection in Green Design: A Method Combining DEA and TOPSIS

Cheng Peng, Dianzhuang Feng and Sidai Guo
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Cheng Peng: Department of Economics, School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
Dianzhuang Feng: Department of Economics, School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
Sidai Guo: Department of Economics, School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China

Sustainability, 2021, vol. 13, issue 10, 1-14

Abstract: In order to rationalize material selection in green design, this study presents an attempt to combine the methods of generalized Data Envelopment Analysis (DEA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). By establishing a green material index system, the G-CCR model of generalized DEA was first used to select effective materials from the candidate samples, and TOPSIS was then used to sort the effective suppliers. The combined DEA/TOPSIS model helps to rank the materials by quality, and then integrate both the merits ofG-CCR model and the key characteristics of TOPSIS. The results of this study showed that the combined DEA/TOPSIS model can screen and exclude materials with poor performance when selecting wood for the furniture industry. Therefore, the combined model that is presented in this study provides a more rational and evidentiary basis for material selection in green design.

Keywords: material selection; green design; DEA; TOPSIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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