Optimization of a macro-algae-based biodiesel supply chain: a multi-objective approach Article Swipe
Pankaj Panwar
,
Anubhav Pratap Singh
,
Anand Chauhan
,
Ritu Arora
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s43621-025-01022-1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s43621-025-01022-1
The rising consumption of fossil fuels and the emission of greenhouse gases have made sustainable energy generation an absolute necessity. With its ability to be produced from a variety of biomass sources, including non-edible ones like macro-algae, animal fat and used cooking oil, biofuels have the potential to provide a sustainable energy alternative to non-renewable sources. Macro-algae serves as a cost-effective and accessible solution for energy generation. Accelerated biodiesel supply chain development is essential to support large-scale sustainable production. This research focuses on designing an optimized and sustainable supply chain for third-generation biodiesel production from macro-algae. The main contribution lies in developing a multi-objective optimization model that minimizes supply chain costs and environmental impacts while addressing critical factors such as transportation logistics, facility placement and the impact of advertising on biodiesel demand. The proposed strategy effectively reduces supply chain costs and environmental impacts. Advertising promotes biodiesel as an alternative to fossil fuels, thereby influencing its demand. The proposed multi-objective optimization model is implemented using the Genetic Algorithm. Three macro-algae species (Ulva fasciata, Cystoseira indica and Gracilaria corticata) are strategically integrated into an extensive network of bio-refineries, biodiesel depots, multi-extraction centres and diverse supply sources. The findings highlight substantial costs associated with biofuel supply chain installation, with production facilities accounting for 61.6% of the biodiesel setup costs. Biofuel supply chain installation contributes 69.8% of the total environmental impact. A numerical example and sensitivity analysis of essential factors are conducted to assess the model’s practicality and validity.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s43621-025-01022-1
- https://link.springer.com/content/pdf/10.1007/s43621-025-01022-1.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409221299
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409221299Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s43621-025-01022-1Digital Object Identifier
- Title
-
Optimization of a macro-algae-based biodiesel supply chain: a multi-objective approachWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-07Full publication date if available
- Authors
-
Pankaj Panwar, Anubhav Pratap Singh, Anand Chauhan, Ritu AroraList of authors in order
- Landing page
-
https://doi.org/10.1007/s43621-025-01022-1Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s43621-025-01022-1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s43621-025-01022-1.pdfDirect OA link when available
- Concepts
-
Macro, Biodiesel, Algae, Algae fuel, Supply chain, Supply chain optimization, Pulp and paper industry, Environmental science, Biochemical engineering, Computer science, Process engineering, Engineering, Business, Supply chain management, Botany, Biology, Biochemistry, Marketing, Programming language, CatalysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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