Accueil › Annuaire des chercheurs › Safa Bhar Layeb
Safa Bhar Layeb
Affiliation : Tunis University · IMT Mines Albi · National Engineering School of Tunis · Centre de Génie Industriel · Université de Toulouse · Tunis El Manar University
- 118Publications (affiliation tunisienne)
- 145Publications au total
- 551Citations
- 12Indice h
Profil de recherche
Safa Bhar Layeb compte 118 publications référencées (2019–2026). Ses travaux paraissent principalement dans « IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) », « Lecture notes in networks and systems » et « HAL ». Son article le plus cité, « Determining optimal deployment of electric vehicles charging stations: Case of Tunis City, Tunisia » (2019), a été cité 84 fois. 53 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France, Émirats arabes unis, Irak, Canada.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Vehicle Routing Optimization Methods
- Healthcare Operations and Scheduling Optimization
- Scheduling and Optimization Algorithms
- Complexity and Algorithms in Graphs
- Facility Location and Emergency Management
Publications (118)
- Clinical Decision Support System (CDSS) for Demand Management in the Healthcare Supply: A Case Study of Impacts Status (Risks) During Pregnancy
- A Mathematical Optimization Model for Operating Room Planning and Scheduling Problem with Variable Time-Slot Discretizations
- Design and Implementation of an Intelligent Agent Medical Decision Support System Based- Deep Learning
- Healthcare Prediction Application for Heart Disease: An Ontology- Based Decision Support System
- Evaluation of a Prototype Image- Medical Decision Support System Based- Convolutional Neural Network
- Evaluation a Decision Support System Based-Machine Learning for Medical Issues
- Evaluation a Medical Management Big Data Based-Data Mining Technology: A Case Study of Predicting Diseases and Treatments
- Simulation-based matheuristic for job sequencing and tool switching on non-identical parallel machines under uncertainty
- Stochastic Programming for Job Sequencing and Tool Switching Problem with Non-Identical Parallel Machines and Stochastic Processing Times
- A MILP-based decision support system for an emergency hospital pharmacy
- Extracorporeal Membrane Oxygenation (ECMO) Prediction of Mortality and Integrated Complication with Infection Risk Assessment by Machine Learning: Structured Narrative Review
- Towards Tailoring Reinforcement Learning to Solve the Online Surgery-Planning and Scheduling Problem
- Towards a Data-Driven Decision Support System for Enhanced Healthcare Collaboration
- Editorial: Novel reliable approaches for prediction and clinical decision-making in cancer
- Design and Implementation of a Prototype for Frailty Diseases Based on Decision Support System
- On Solving the Physicians Scheduling Problem at an Emergency Department: A Case Study from Canada
- Comparative Analysis of Ensemble-Based Nowcasting Models for Precipitation Prediction in the UAE
- Human-Centered Scheduling with a Heterogeneous Workforce in the Context of Industry 5.0: A Proof of Concept from a Learning Factory
- Evolutionary Reinforcement Learning Based Approaches for Solving the Traveling Salesman Problem
- New trends of combinatorial optimization and applications
- Optimizing Wheat Price Forecasting and Reporting through Data Pipelines, Machine Learning, and Automation
- Minimizing makespan in a multi-stage hybrid flow shop scheduling problem with dedicated machines
- Metaheuristics for solving the multi-stage hybrid flow shop scheduling problem with dedicated machines
- Data-Driven Approach for the Job Sequencing and Tool Switching Problem with Non-Identical Parallel Machines and Stochastic Processing Times
- Optimisation de la planification opératoire par la prédiction des durées : Une application dans une clinique Belge
- Developing a Mobile Application and Dashboard for Proactive Management of Patient No-Shows via Geolocation and Dynamic Scheduling
- Towards an Integrated Decision Support System for the Evaluation of Data Mining Tools in an Economic Intelligence System
- A Hybrid Machine Learning Model for Predicting Surgical Procedure Duration: Integrating Random Forest and K-Means Clustering
- Tailoring a Red Deer Algorithm for Solving an Integrated Surgery Planning and Scheduling Problem
- Towards Synergistic Process Improvement in Healthcare: Comparative Insights from Lean, TQM, and Discrete Event Simulation
- Process Analysis and Optimization of Emergency Surgical Services Using Value Stream Mapping
- Predicting Diseases and Treatments of Healthcare Management Big Data Based-Deep Learning
- Design and Architecture of an Accessible Mobile System for Danger Detection in Autism Spectrum Disorder: Integrating AR, AI and Machine Learning
- Solving the Pallet Loading Problem with Deep Reinforcement Learning
- Systematic Review of Web-Based Decision Support Systems for Clinical Applications: Enhancing Ontology with Unified Modeling Language and Ontology Web Language
- On Solving Integrated Operating Room Planning and Scheduling Problem
- On Solving the Job Sequencing and Tool Switching Problem With Non-Identical Parallel Machines and Stochastic Processing Times
- Digital Transformation in Public Healthcare Organizations: A Case Study
- Optimizing Operating Room Planning and Scheduling Using the Reptile Search Algorithm
- A Risk-Analysis Approach to Optimize Investment Portfolios
- Understanding People's Perceptions Toward COVID-19 Vaccination Using Twitter Data
- Inventory Management Performance of Medical Analysis Laboratory in a Public Hospital
- Exploring Healthcare Providers' Perspectives on Extended Reality Technologies for Sustainable Healthcare: A Twitter Analysis
- Solving a Generalized Network Design Problem Using Hybrid Metaheuristics
- Proceeding of The International Conference Healthcare Systems Day 2024
- On Eco-friendly Technologies for a Sustainable Healthcare Environment
- Is Technology Present in Patient-Centered Care Frameworks and Approaches? A Systematic Review of the Literature
- Deep Learning for Solving Loading, Packing, Routing, and Scheduling Problems
- Learning-driven Evolutionary Optimization for the Traveling Salesman Problem
- A Simulation-Based Optimization Approach Towards Human-Centric Scheduling in Presence of Heterogeneous Workforce
- HLA-G gene polymorphisms as predictors of survival in colorectal cancer: A unified machine learning approach
- Evaluating Synergy in Auctioned Customer Bundles for Transportation Carriers
- On solving the integrated operating room planning and scheduling problem
- Optimal Deployment of Electric Vehicles’ Fast‐Charging Stations
- Exploring the Reactions of Early Users of ChatGPT to the Tool using Twitter Data: Sentiment and Topic Analyses
- Framework for Smart Online 3D Bin Packing Using Augmented Reality
- Pre-auction optimization for the selection of shared customers in the last-mile delivery
- A survey on network design problems: main variants and resolution approaches
- Long Short-Term Memory Networks for Forecasting Demand in the Case of Automotive Manufacturing Industry
- Deep Learning for Solving Loading, Packing, Routing, and Scheduling Problems
- A multi-vendor multi-buyer integrated production-inventory model with greenhouse gas emissions
- Solving the Pallet Loading Problem with Deep Reinforcement Learning
- Predicting Patient Arrival Rates in a Multi-Specialty Outpatient Department
- New Horizons in Engineering Education: From Additive Manufacturing to Immersive Learning
- Exploring Cognitive Sustainability Concerns in Public Responses to Extreme Weather Events: An NLP Analysis of Twitter Data
- Ressource Planning and Scheduling for Operating Room Management: Current State and Challenges
- Review of: "Applications of Deep reinforcement learning in MEMS and nanotechnology"
- Deep reinforcement learning for solving the single container loading problem
- A BPMN-VSM based process analysis to improve the efficiency of multidisciplinary outpatient clinics
- Telemedicine’s future in the post-Covid-19 era, benefits, and challenges: a mixed-method cross-sectional study
- Evolutionary Reinforcement Learning for Solving a Transportation Problem
- A Simulation-based Optimization Model for the Vehicle Routing Problem with Bimodal Stochastic Travel Time Distribution
- A human behaviour-based simulation model for resource allocation at a multi-specialty outpatient clinic
- Artificial Intelligence and Operations Research in a Middle Ground to Support Decision-Making in Healthcare Systems in Africa
- Solving a Generalized Network Design Problem Using the Archimedes Optimization Algorithm
- Reinforcement Learning Based Graphical User Interface to Solve the Permutation Flow Shop Problem
- Amélioration de la performance d’un service d’urgences : apport du business process management et du lean management
- Application of Data Envelopment Analysis for pharmaceutical export decision-making during the COVID-19 pandemic
- On Coupling a Content-Based Routing Process with a Multi-label Residual Convolutional Neural Network Text Classifier
- Data Envelopment Analysis for Healthcare Systems Assessment: Review and Applications from Tunisia
- Forecasting Demand Using ARIMA Model and LSTM Neural Network: a Case of Detergent Manufacturing Industry
- Hybrid model for a cross‐department efficiency evaluation in healthcare systems
- Tailoring a Red Deer Algorithm to Solve a Generalized Network Design Problem
- A Clustering-Based Data Envelopment Analysis for Learning Processes Performance Assessment in Teaching Hospitals
- Process reengineering and optimization for innovation performance: An application to detergent manufacturing
- Equipment Dispatching Problem for Underground Mine Under Stochastic Working Times
- Management of Shared Customers Through Pool Collaboration in Last-Mile Transportation
- Organizational Design for an Effective Health Care Performance: Case Study of a Tunisian Emergency Department
- Toward a PCA-DEA based Decision Support System: A case study of a third-party logistics provider from Tunisia
- Efficiency Analysis to evaluate a Breast Cancer Screening Campaign: A Case Study from Tunisia
- Locating and sizing electric vehicles charging stations in new markets
- On Solving the On-Demand Grocery Delivery Problem
- Contributions à l’Optimisation des Problèmes de Conception de Réseaux
- Determining optimal deployment of electric vehicles charging stations: Case of Tunis City, Tunisia
- A simulation-optimization approach for the stochastic discrete cost multicommodity flow problem
- A Decision Support System for Drug Inventory Management within an Emergency Department: A Case Study
- Data Envelopment Analysis for Care Production Efficiency Measurement in Ambulatory Care Departments
- Bio-inspired metaheuristics for the generalised discrete cost multicommodity network design problem
- An exact approach for the multicommodity network optimization problem with a step cost function
- A New MILP-based Decision Support System for the Fuel Distribution
Revues de publication
- IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) × 10
- Lecture notes in networks and systems × 8
- HAL × 5
- IEEE International Conference on Advanced Healthcare Systems (ICAHS) × 5
- International Conference on Control, Decision and Information Technologies (CoDIT) × 4
- Springer eBooks × 4
Publications par année
- 202611
- 202522
- 202420
- 202314
- 202213
- 20218
- 20205
- 20197
Collaborations
Établissements partenaires : University of Carthage · LabISEN · University of Sharjah · University of Baghdad · Institut Supérieur de l'Électronique et du Numérique
Pays des co-auteurs : France · Émirats arabes unis · Irak · Canada
Co-auteurs
- Najla Omrane Aissaoui
- Amel Jaoua
- Imen Mejri
- Asma Ouled Bedhief
- Marwa Hasni
- Amira Brahmi
- Amina Antit
- Ahmed Shihab Ahmed
- Aymen Mannai
- Jouhaina Chaouachi Siala
- Farah Zeghal Mansour
- Farah Zeghal
Données bibliographiques issues d’OpenAlex (base ouverte).
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