Communication Dans Un Congrès Année : 2024

Optimizing a Multi-Level Logistics Network: Exploring the Location and Assignment of 3D Printed Orthotic Facilities

Résumé

Proper distribution and location decisions have a direct impact on the accessibility of health care services and customer satisfaction. The purpose of this study is to explore the Capacitated Location and Routing Problem (CLRP) in health care, using a real case study from a non-governmental organization (NGO). At the strategic level, the study focuses on determining the most rational options for facility location and assignment. At the operational level, the research concentrates on optimizing routes between these facilities and creating production schedules for the production centers. Currently, a preliminary mixed integer linear programming model has been developed to address the Capacitated Facility Location Problem (CFLP), laying the groundwork for more complex systems.

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Dates et versions

hal-04820524 , version 1 (05-12-2024)

Identifiants

Citer

Siyu Guo, Tao Wang, Thibaud Monteiro. Optimizing a Multi-Level Logistics Network: Exploring the Location and Assignment of 3D Printed Orthotic Facilities. 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024), Nov 2024, Porto, Portugal. pp.261-268, ⟨10.5220/0012926900003822⟩. ⟨hal-04820524⟩
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