Optimizing material circularity pathways in industrial waste streams: A decision-making model Article Swipe
L.G.L.M. Edirisinghe
,
A.A.P. de Alwis
,
Satya Prakash
,
Mayuri Wijayasundara
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.mex.2024.102813
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.mex.2024.102813
The increasing pressures of environmental regulation and the introduction of new policy frameworks by various nations have accelerated the popularization of industrial solid waste management and recovery, underscoring the transition towards a circular economy. This paradigm shift emphasizes the importance of material recovery, reuse, and recycling of industrial waste to minimize environmental impact and enhance sustainability. Despite the availability of individual approaches for waste recovery, there exists a significant gap in the systematic selection of optimal recovery pathways that facilitate the reintegration of materials into the production cycle. Addressing this gap, our study introduces a novel optimization model designed to identify the most efficient material circularity routes that leverage both the technical and biological cycles of the circular economy framework. Utilizing the Genetic Algorithm optimization tool in MATLAB, our model prioritizes pathways that maximize material recovery and profit generation simultaneously. This dual-objective function serves as the cornerstone of our analysis, ensuring a balanced approach to environmental sustainability and economic viability. The model's efficacy was tested on pre-calculated quantities of fabric waste generated by the Biyagama Export Processing Zone, providing a practical case study for its application. Our findings reveal diverse scenarios under which the model can allocate varying weights to each objective, demonstrating its flexibility and utility as a decision-making tool for stakeholders in the waste management sector. The results indicate that the model is not only capable of optimizing waste circularity pathways for maximum material recovery and profit generation but also offers a customizable framework that can adapt to the specific priorities of different stakeholders. This research contributes to the existing body of knowledge by filling a critical gap in the selection of sustainable waste recovery pathways, offering a practical, optimized, and scalable solution that can significantly advance the goals of the circular economy in the industrial sector.•Decision-making model for stakeholders in the waste management sector.•Model selects the best material recovery pathways.•Textile industrial fabric waste stream used as a pilot to test the model's effectiveness.
Related Topics
Concepts
Reuse
Sustainability
Circular economy
Profit (economics)
Leverage (statistics)
Flexibility (engineering)
Industrial ecology
Computer science
Environmental economics
Biochemical engineering
Risk analysis (engineering)
Engineering
Waste management
Business
Economics
Ecology
Biology
Microeconomics
Management
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.mex.2024.102813
- OA Status
- gold
- Cited By
- 3
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399957252
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399957252Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.mex.2024.102813Digital Object Identifier
- Title
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Optimizing material circularity pathways in industrial waste streams: A decision-making modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-24Full publication date if available
- Authors
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L.G.L.M. Edirisinghe, A.A.P. de Alwis, Satya Prakash, Mayuri WijayasundaraList of authors in order
- Landing page
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https://doi.org/10.1016/j.mex.2024.102813Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.mex.2024.102813Direct OA link when available
- Concepts
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Reuse, Sustainability, Circular economy, Profit (economics), Leverage (statistics), Flexibility (engineering), Industrial ecology, Computer science, Environmental economics, Biochemical engineering, Risk analysis (engineering), Engineering, Waste management, Business, Economics, Ecology, Biology, Microeconomics, Management, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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13Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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