Multi-stakeholder Multi-criteria Decision-Making Framework for Sustainability Prioritization: Investigation of the Processes for Sludge-to-Wealth

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

The treatment of sewage sludge has been a great challenge of many counties. This study aims at developing a generic multi-stakeholder multi-criteria decision making framework for sustainability assessment and prioritization of the pathways for sludge recycling. Multi-stakeholder intuitionistic fuzzy analytic hierarchy process (AHP) method which allows multiple groups of stakeholders to participate in the determination of the weights of the evaluation criteria was developed. Multi-stakeholder intuitionistic fuzzy grey relational analysis (GRA) method was proposed to rank the alternative processes for converting sludge to energy or resources. Four pathways for sludge treatment including sludge for landscaping, sludge for landfilling, sludge for incineration, and sludge for cement production were studied, and this method enables the decision-makers to know the integrated priorities of the processes for sludge treatment. Sludge for landscaping has been recognized as the most sustainable pathway for sludge treatment, follows by sludge for landfilling, sludge for cement production (A4), and sludge for incineration. The results were validated by the sum weighted method, and sensitivity analysis was also carried to investigate the effects of the weights on the final sustainability ranking.
Original languageEnglish
Title of host publicationAdvanced Operations Management for Complex Systems Analysis
PublisherSpringer
Pages79-104
Number of pages26
ISBN (Electronic)978-3-030-45418-0
ISBN (Print)978-3-030-45417-3
DOIs
Publication statusPublished - 22 Apr 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

ASJC Scopus subject areas

  • Biotechnology
  • Chemical Engineering(all)
  • Mathematics(all)
  • Materials Science(all)
  • Energy Engineering and Power Technology
  • Engineering(all)

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