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Sustainable development for zero-wastewater-discharge reproduction planning under quantitative and qualitative information

Chun-Wei Lin (Institute of Innovation and Circular Economy, Asia University Taiwan, Taichung, Taiwan) (Department of Business Administration, Asia University Taiwan, Taichung, Taiwan)
Shiou-Yun Jeng (Institute of Industrial Engineering and Management, Natinoal Yunlin University of Science and Technology, Yulin, Taiwan)
Ming-Lang Tseng (Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan) (Department of Medical Research, China Medical University, Shenyang, China)
Wai Peng Wong (School of Management, Universiti Sains Malaysia, Minden, Malaysia)

Management of Environmental Quality

ISSN: 1477-7835

Article publication date: 4 June 2019

Issue publication date: 9 July 2019

287

Abstract

Purpose

The purpose of this paper is to analyze the wastewater discharge and a zero-wastewater-discharge (ZWD) reproduction plan is designed for a paper mill in Taiwan.

Design/methodology/approach

The proposed model of ZWD reproduction planning is established using the fuzzy comprehensive evaluation and Taguchi method to determine the overall wastewater recovery rate. Still the prior studies failed to address a systematic approach to optimize the waste water recovery rate.

Findings

The optimal solution for clean water is 500 tons, recovery electrodialysis reversal is 345 tons, the wastewater reuse performance is 1.3 and waste heat recycling performance is 0.8, the larger number is performed well. The results shows that the maximum overall waste water recovery rate is 97.8 percent.

Originality/value

A paper mill is strived for improving their sustainable development. In real situation, there is a need to address the qualitative information and qualitative data to carry out the optimal ZWD reproduction planning.

Keywords

Citation

Lin, C.-W., Jeng, S.-Y., Tseng, M.-L. and Wong, W.P. (2019), "Sustainable development for zero-wastewater-discharge reproduction planning under quantitative and qualitative information", Management of Environmental Quality, Vol. 30 No. 5, pp. 1114-1131. https://doi.org/10.1108/MEQ-12-2018-0213

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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