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

Siyu Guo, Tao Wang, Thibaud Monteiro

2024

Abstract

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.

Paper Citation

in Harvard Style

Guo S., Wang T. and Monteiro T. (2024). Optimizing a Multi-Level Logistics Network: Exploring the Location and Assignment of 3D Printed Orthotic Facilities. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 261-268. DOI: 10.5220/0012926900003822

in Bibtex Style

@conference{icinco24,
author={Siyu Guo and Tao Wang and Thibaud Monteiro},
title={Optimizing a Multi-Level Logistics Network: Exploring the Location and Assignment of 3D Printed Orthotic Facilities},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={261-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012926900003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Optimizing a Multi-Level Logistics Network: Exploring the Location and Assignment of 3D Printed Orthotic Facilities
SN - 978-989-758-717-7
AU - Guo S.
AU - Wang T.
AU - Monteiro T.
PY - 2024
SP - 261
EP - 268
DO - 10.5220/0012926900003822
PB - SciTePress