Abstract
This paper proposes an integrated approach for a biomethane supply chain from Organic Fraction of Municipal Solid Waste (OFMSW), addressing both strategic plant location-sizing and tactical vehicle routing. A two-stage iterative approach following a cluster-first location&sizing&route-second approach is implemented to optimize investment and transportation costs. A novel classification of waste producers into small and large categories allows for a tailored approach, minimizing transportation costs through waste pooling for small producers and allocating vehicles effectively for large producers. Extensive computational experiments on a case study on the Lazio Region demonstrate the cost-effectiveness of the proposed approach, which saves 30% of transportation costs with respect to a location-sizing model. Additionally, the sensitivity analysis highlights the significant impact of including huge-scale plants in the solution.
| Original language | English |
|---|---|
| Article number | 110714 |
| Number of pages | 23 |
| Journal | Computers and Industrial Engineering |
| Volume | 198 |
| DOIs | |
| Publication status | Published - Dec 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
Keywords
- Biomethane
- Circular economy
- Location-routing
- Mixed integer linear programming
- Waste management
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