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Resource Efficiency Improvement: Zero Waste Discharge Planning in a Pulp-and-paper Firm Under Uncertainties by Shiou-Yun Jeng; Chun-Wei Lin; Ming-Lang Tseng; Korbkul Jantarakolica; Raymond Tan is a Business, Management and Accounting article available to read on EtoBox.

What is Resource Efficiency Improvement: Zero Waste Discharge Planning in a Pulp-and-paper Firm Under Uncertainties about?

## Purpose This study develops an integrated zero waste discharge planning approach for improving resource efficiency in a pulp-and-paper manufacturing firm. ## Design/methodology/approach The objectives of this study are to (1) identify the environmental, technical and social metrics in resource efficiency; (2) utilize fuzzy multi-objective programming and the hybrid particle swarm optimization algorithm to solve the fuzzy problem; and (3) develop an assessment for resource efficiency improvement in an industrial case study. ## Findings The findings demonstrate the superiority of hybrid particle swarm optimization algorithm in generating optimal results for a pulp-and-paper manufacturing firm. ## Practical implications The findings demonstrate the superiority of hybrid particle swarm optimization algorithm in generating optimal results for a pulp-and-paper manufacturing firm. ## Originality/value Resource efficiency is a multi-objective problem in an uncertain environment. In particular, zero waste discharge planning involves minimizing the total cost and maximizing the waste material recovery rate, wastewater reuse, and waste heat recovery.

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Author

Shiou-Yun Jeng; Chun-Wei Lin; Ming-Lang Tseng; Korbkul Jantarakolica; Raymond Tan

Publisher

Emerald

Published

2021

Language

EN

Field

Business, Management and Accounting (Social Sciences)