Commercially Available Materials Selection in Sustainable Design: An Integrated Multi-Attribute Decision Making ApproachReportar como inadecuado




Commercially Available Materials Selection in Sustainable Design: An Integrated Multi-Attribute Decision Making Approach - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1

State-Province Joint Engineering Research Lab in Geospatial Information Technology for High Speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China

2

Key Laboratory of Advanced Materials Technology Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China

3

Institute of Resource, Environment and Sustainable Development IRESD, Jinan University, Guangzhou 510632, China





*

Author to whom correspondence should be addressed.



Academic Editors: Bing Wang, Ning Zhang and Marc A. Rosen

Abstract This paper presents an integrated multi-attribute decision-making MADM approach to aid selection of commercially available materials in the context of sustainable design. The MADM couples grey relational analysis GRA with an analytic hierarchy process AHP to rank alternative materials in terms of their economic, environmental, and social performance. AHP is used to determine the corresponding weighting values for the selected indicators. In addition, a case example is used to verify the proposed MADM method and demonstrate its practical application. Three alternative polymer materials, i.e., polyvinyl chloride PVC, polypropylene PP, and polyethylene PE, are examined to determine their sustainability for plastic pipe design. The associated MADM result and the limitations of the approach are discussed to lay the foundation for further improvement. View Full-Text

Keywords: materials selection; multi-attribute decision-making; sustainable design; analytic hierarchy process; grey relational analysis materials selection; multi-attribute decision-making; sustainable design; analytic hierarchy process; grey relational analysis





Autor: Rui Zhao 1, Han Su 1, Xiaolang Chen 2 and Yanni Yu 3,*

Fuente: http://mdpi.com/



DESCARGAR PDF




Documentos relacionados