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Growing Science » Journal of Future Sustainability » A mixed-integer linear programming formulation for the periodic vehicle routing problem with applica-tion to pathological waste collection

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Journal of Future Sustainability
ISSN 2816-8151 (Online) - ISSN 2816-8143 (Print)
Quarterly Publication
Volume 6 Issue 3 pp. 137-150, 2026

A mixed-integer linear programming formulation for the periodic vehicle routing problem with applica-tion to pathological waste collection Pages 137-150 PDF Download PDF

Authors: Sebastián Nicolás Pereira, Gabriela Corsano, Yanina Fumero

📋 Author Affiliations:
Sebastián Nicolás Pereira ORCID , Gabriela Corsano ORCID , Yanina Fumero
¹ Instituto de Desarrollo y Diseño, CONICET-UTN, Avellaneda 3657, S3002GJC Santa Fe, Argentina
doi 10.5267/j.jfs.2026.4.001
✏️ Editor: EditorSeyed jafar Sadjadi ORCID
Crossref 1 Source: CrossRef

🔑 Keywords: Pathological Waste Collection, PVRP, MILP, Simultaneous Optimization

Abstract: Pathological waste generated in healthcare facilities poses a significant risk of infectious disease transmission and therefore requires specialized collection, transportation, and disposal systems. Efficient logistical planning is essential for companies responsible for managing this waste in order to reduce operational costs while ensuring adequate health and environmental standards. In this context, this study develops an optimization strategy based on the Periodic Vehicle Routing Problem (PVRP) to support the planning of pathological waste collection and transportation activities. A mixed-integer linear programming model (MILP) is proposed to determine the visit schedule for healthcare centers, assign vehicles to service days, and design vehicle routes that satisfy demand and service frequency requirements over a weekly planning horizon while minimizing total operational costs. The model is validated through a real case study from Argentina, demonstrating its applicability to real-world waste management systems. Additionally, a benchmark case from the literature is solved to evaluate the impact and performance of the proposed approach under a deterministic demand scenario derived from historical data. Finally, the performance of the proposed model is compared with alternative PVRP formulations using several benchmark instances, showing the reliability and consistency of the solutions obtained.

How to cite this paper
APA: Pereira, S., Corsano, G & Fumero, Y. (2026). A mixed-integer linear programming formulation for the periodic vehicle routing problem with applica-tion to pathological waste collection. Journal of Future Sustainability, 6(3), 137-150.
Chicago/Turabian: Pereira, S., Corsano, G & Fumero, Y. 2026. "A mixed-integer linear programming formulation for the periodic vehicle routing problem with applica-tion to pathological waste collection." Journal of Future Sustainability 6, no. 3 (2026): 137-150.
AMA: Pereira, S., Corsano, G & Fumero, Y. A mixed-integer linear programming formulation for the periodic vehicle routing problem with applica-tion to pathological waste collection. Journal of Future Sustainability. 2026;6(3):137-150.

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📚 Journal: Journal of Future Sustainability | 📅 Year: 2026 | 📖 Volume: 6 | 📄 Issue: 3 | 👁️ Views: 534 | 📊 Crossref: 1

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