Use analytic hierarchy and gray relational analysis for the evaluation of oily sludge treatment technology

ABSTRACT

There are many oily sludge treatment technologies with great development prospects, and due to the lack of an objective and scientific technology evaluation system, there have been different opinions and views on the selection of technologies. To address this issue, this paper establishes a multi-criteria decision system based on hierarchical analysis and gray decision-making, discusses the weights of oily sludge treatment technologies in terms of economic benefits, technology, environment and social indicators, and categorizes the relevant impact indicators into target level, criterion level and program level, etc. So as to analyze them qualitatively and quantitatively. The results show that in the hierarchical analysis decision system, the order of influence of the weight of each indicator on the research objectives is as follows: technical and environmental impact indicators occupy an absolute advantage for the treatment and disposal of oily sludge, with a weight of 0.5886 for environmental indicators and 0.2074 for technical indicators, whose main impact indicators include the resourceization of oily sludge with a weight of 0.6104 and the pollution degree of soil with a weight of 0.5115. Because X₂ shows a high correlation in the evaluation model, the preferred oily sludge and blast furnace slag catalytic pyrolysis treatment, a comprehensive evaluation of oily sludge treatment technologies will help researchers to have a good understanding of the recent developments and future research directions.

KEYWORDS:

• Oily sludge
• multi-criteria decision-marking
• analytic hierarchy process
• gray relational analysis
• environmental impact assessment

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the word reported in this thesis.

Additional information

Funding

This research was supported by the National Key Research and Development Program of Solid Waste Resources, (No.2019YFC1903900) and Liao Ning Revitalization Talents Program, (XLYC2008013).

Notes on contributors

Zhiping Li

Zhiping Li Investigation, Writing-original draft, Methodology, Data curation, Visualization.

Yanlong Li

Yanlong Li Conceptualization, Supervision, Project administration, Funding acquisition, Writing-review & editing.

Quan Li

Quan Li Formal analysis, Validation, Writing-review & editing.

Zuoxi Liu

Zuoxi Liu Data curation, Writing-review & editing, Manuscript inspection.

Rundong Li

Rundong Li Resources, Project administration, Funding acquisition.