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A review of waste paper recycling networks focusing on quantitative methods and sustainability

Authors :
Elen Yanina Aguirre Rodríguez
Cristiane Maria Defalque
Fernando Augusto Silva Marins
Aneirson Francisco da Silva
Source :
Journal of Material Cycles and Waste Management. 23:55-76
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

A discussion is currently under way in the literature on the sustainable benefits of recycling material, particularly paper, which has high global consumption and polluting capacity. Optimized planning of waste paper recycling networks stimulates sustainable processing efficiency, motivating the investigation of quantitative methods to guide decision-making. The objective of this article is to review papers that present quantitative models for planning waste paper recycling networks considering optimization of the echelons of this process, to analyze the evolution of research, find research opportunities and contribute to future research. The article presents an analysis of five categories of the selected studies: I—evolution of publications; II—echelons considered in different waste paper recycling systems; III—the sustainability pillars considered in the objectives of the formulated model; IV—formulations and techniques used; and V—uncertainty analysis. The proposal for waste paper recycling networks involves summary of the echelons considered in selected articles, to help future analysis. Research suggestions involving sustainability objectives, especially considering social issues, using different solution techniques and considering uncertainty were identified. This study, by reviewing the articles and identifying possibilities for future research, contributes to the development of research using quantitative methods for the efficient management of waste paper recycling networks or similar arrangements.

Details

ISSN :
16118227 and 14384957
Volume :
23
Database :
OpenAIRE
Journal :
Journal of Material Cycles and Waste Management
Accession number :
edsair.doi...........52cb2639e54ea38888e01f49c77ed984
Full Text :
https://doi.org/10.1007/s10163-020-01124-0