Optimisation des tournées de collecte et de desserte des déchets médicaux transitant par un entrepôt commun

Ahlaqqach, Mustapha; Benhra, Jamal; Mouatassim, Salma

doi:10.1080/12507970.2017.1310601

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…These results encourage us to implement ridesharing in our case. In fact, the nature of the product transported is hazardous and can have a negative impact on the environment [7]. As we assume that incinerators (MW Delivery) and clinics (MW Collect) are going to be served by heterogeneous vehicles while respecting TW, our problem is called Heterogeneous capacitated Vehicle Routing Problem Pick-up and Delivery with time windows (HCVRPPDTW).…”

Section: Problem Definition and State Of Artand Resultsmentioning

confidence: 99%

Modeling and Optimization of a Multi-Objective Ridesharing Problem in the Case of Medical Waste

2019

IJRTE

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Medical wastes is now a major concern of the world community and more particularly that of Moroccans. Indeed, these wastes, classified as hazardous products, are the source of serious infections, contamination of groundwater and air pollution. Through this paper, we encouraged the use of ridesharing to cope with the risks and costs arising from the logistics of these medical wastes. Thus, we have proposed a mathematical model that governs the multi-objective nature of this logistics and the various constraints associated with it. Since the exact approach had difficulties in large instances, we proposed the Genetic Algorithm and Evolution Strategy as metaheuristic to solve the model. The Evolution Strategy showed its efficiency and stability and therefore we have demonstrated through this metaheuristic the possibility of a compromise between the main objectives of our model.

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Section: Problem Definition and State Of Artand Resultsmentioning

confidence: 99%

Modeling and Optimization of a Multi-Objective Ridesharing Problem in the Case of Medical Waste

2019

IJRTE

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“…The issue of medical waste recycling can be considered as a specific instance of the Vehicle Routing Problem with Time Windows (VRPTW), a problem known to be NP-hard. 68 In this context, Ahlaqqach et al 1 proposed a model for hospital waste management. They optimized vehicle routing for both the upstream and downstream of a central warehouse, acting as a hub between healthcare facilities and incineration sites.…”

Section: Proposed Solutionmentioning

confidence: 99%

“…Improper management and inadequate disposal of medical waste can lead to harmful outcomes for public health and the environment. 1 This underscores the urgent requirement for innovative methods aimed at improving the efficiency, safety, and sustainability of MWM systems.…”

Section: Introductionmentioning

confidence: 99%

An innovative medical waste management system in a smart city using XAI and vehicle routing optimization

Boudanga,

benhadou,

Medromi

2023

F1000Res

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Background The management of medical waste is a complex task that necessitates effective strategies to mitigate health risks, comply with regulations, and minimize environmental impact. In this study, a novel approach based on collaboration and technological advancements is proposed. Methods By utilizing colored bags with identification tags, smart containers with sensors, object recognition sensors, air and soil control sensors, vehicles with Global Positioning System (GPS) and temperature humidity sensors, and outsourced waste treatment, the system optimizes waste sorting, storage, and treatment operations. Additionally, the incorporation of explainable artificial intelligence (XAI) technology, leveraging scikit-learn, xgboost, catboost, lightgbm, and skorch, provides real-time insights and data analytics, facilitating informed decision-making and process optimization. Results The integration of these cutting-edge technologies forms the foundation of an efficient and intelligent medical waste management system. Furthermore, the article highlights the use of genetic algorithms (GA) to solve vehicle routing models, optimizing waste collection routes and minimizing transportation time to treatment centers. Conclusions Overall, the combination of advanced technologies, optimization algorithms, and XAI contributes to improved waste management practices, ultimately benefiting both public health and the environment.

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Multi-objective Optimization of Heterogeneous Vehicles Routing in the Case of Medical Waste Using Genetic Algorithm

Ahlaqqach

Benhra

Mouatassim

et al. 2020

Communications in Computer and Information Science

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Optimisation des tournées de collecte et de desserte des déchets médicaux transitant par un entrepôt commun

Cited by 7 publications

References 13 publications

Modeling and Optimization of a Multi-Objective Ridesharing Problem in the Case of Medical Waste

Modeling and Optimization of a Multi-Objective Ridesharing Problem in the Case of Medical Waste

An innovative medical waste management system in a smart city using XAI and vehicle routing optimization

Multi-objective Optimization of Heterogeneous Vehicles Routing in the Case of Medical Waste Using Genetic Algorithm

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