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A sustainability evaluation method integrating the energy, economic and environment in remanufacturing systems.

Authors :
Zhang, Xugang
Ao, Xiuyi
Cai, Wei
Jiang, Zhigang
Zhang, Hua
Source :
Journal of Cleaner Production. Dec2019, Vol. 239, pN.PAG-N.PAG. 1p.
Publication Year :
2019

Abstract

The energy, economic and environmental performance of remanufacturing process are complex and diverse. In order to improve the comprehensive benefits, a sustainability evaluation method for multi-objective remanufacturing system synthesis based on energy, economy and environment is proposed in this paper. Starting from the remanufacturing process, the prediction model of each evaluation index is established and verified, and the technique for order performance by similarity to ideal solution (TOPSIS) based on entropy weight is used for analysis and calculation. The established quantitative prediction model is of high accuracy and innovative and practical application value. The example analysis shows that this method can be successfully applied to the remanufacturing of lathe spindle, and the optimal remanufacturing scheme with comprehensive energy, economic and environmental benefits is selected. This study is not only conducive to enterprises to obtain greater comprehensive benefits of remanufacturing, but also can provide a reference for the government to formulate more perfect laws and policies. Image 10109 • Evaluation of remanufacturing sustainability considering energy, economic and environmental benefits. • The analysis and calculation models of energy consumption, cost and carbon emissions are established. • Using TOPSIS based on entropy weight to make comprehensive decision, eliminating the interference of human factors. • It is of positive significance for the development of enterprises and the formulation of government policies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09596526
Volume :
239
Database :
Academic Search Index
Journal :
Journal of Cleaner Production
Publication Type :
Academic Journal
Accession number :
138547223
Full Text :
https://doi.org/10.1016/j.jclepro.2019.118100