MedRoPax: A comprehensive software for solving heterogeneous vehicle routing problem with 3D loading constraints and cardboard box packing for medical supply distribution
Distributing medical supplies involves complex logistical challenges, including the need for optimized delivery routes and efficient packing. Medicines, whether ordered in small quantities or in bulk, are packed into cardboard boxes, which affect cargo dimensions, loading plans, and available delivery routes. Additionally, some medicines require refrigeration, making it necessary to coordinate both reefer and standard trucks. This study introduces MedRoPax, a comprehensive software solution designed to address these challenges. MedRoPax solves the 3D Loading Heterogeneous Vehicle Routing Problem (3LHVRP) and provides user-friendly tools for packing, loading visualization, and route planning. While tailored for medical supply distribution, MedRoPax is also well-suited for other logistics operations that demand both efficiency and safety. • MedRoPax optimizes medical supply distribution using a 3L-HVRP framework. • Integrates 3D loading and cardboard box packing into vehicle routing optimization. • Features interactive visualizations for packing, loading, and delivery route planning. • Supports multiple scenarios, including refrigerated and fragile goods transportation. • Open-source software with high reusability for various logistics applications.
Authors
- Vincent F. Yu (ORCID: https://orcid.org/0000-0001-8975-0606)
- Tri Kuntoro Priyambodo (ORCID: https://orcid.org/0000-0003-1906-7224)
- Muhammad Alfian Amrizal (ORCID: https://orcid.org/0000-0003-1124-5137)
- Gemilang Santiyuda (ORCID: https://orcid.org/0000-0002-4432-6059)
- Santana Yuda Pradata (ORCID: https://orcid.org/0009-0009-0470-8456)
- Rudy Prietno
- Raka Satya Prasasta
Institutions
- National Taiwan University of Science and Technology (TW)
- Universitas Gadjah Mada (ID)
- Universitas Ahmad Dahlan (ID)
- Institut Teknologi dan Bisnis Kalbe (ID)
- Universitas Teknologi Indonesia (ID)
Publication Details
- Journal
- Software Impacts
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1016/j.simpa.2025.100763
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi