A Bi-objective location-routing model for the healthcare waste management in the era of logistics 4.0 under uncertainty

The purpose of this study is to apply Industry 4.0-based technologies to improve the management of infectious healthcare waste considering location-routing problem and population risk under uncertainty. To achieve this, a decision support system is developed and implemented utilizing a bi-objective...

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Bibliographic Details
Published in:International journal of production economics Vol. 276; p. 109342
Main Authors: Govindan, Kannan, Naieni Fard, Fereshteh Sadeghi, Asgari, Fahimeh, Sorooshian, Shahryar, Mina, Hassan
Format: Journal Article
Language:English
Published: Elsevier B.V 01.10.2024
Subjects:
Economics and Business
Ekonomi och näringsliv
Electric autonomous vehicle
Fuzzy theory
Healthcare waste management
Location-routing problem
Logistics 4.0
Location-routing problem
Healthcare waste management
Logistics 4.0
Electric autonomous vehicle
Fuzzy theory
ISSN:0925-5273, 1873-7579
Online Access:Get full text
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Summary:The purpose of this study is to apply Industry 4.0-based technologies to improve the management of infectious healthcare waste considering location-routing problem and population risk under uncertainty. To achieve this, a decision support system is developed and implemented utilizing a bi-objective mixed-integer linear programming (MILP) model. The bi-objective MILP model improves the performance of the healthcare waste management by applying Industry 4.0 technologies, including electric autonomous vehicles, information sharing system, internet of things (IoT), Global Navigation Satellite System (GNSS), and RFID-tagged waste bags. We develop a multi-objective solution approach by integrating the lexicographic and TH methods. The validity of the model has been established through its implementation in seven hospitals in the city of Karaj, Iran. The results denoted significant improvements in waste collection efficiency, route optimization, and the reduction of contamination risks.
ISSN:0925-5273
1873-7579
DOI:10.1016/j.ijpe.2024.109342