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.
A location-sizing and routing model for a biomethane production chain fed by municipal waste / Croella, ANNA LIVIA; Fraccascia, Luca. - In: COMPUTERS & INDUSTRIAL ENGINEERING. - ISSN 0360-8352. - 198:(2024). [10.1016/j.cie.2024.110714]
A location-sizing and routing model for a biomethane production chain fed by municipal waste
Anna Livia Croella
Primo
;Luca FraccasciaSecondo
2024
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.File | Dimensione | Formato | |
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