Special Sessions

As part of the ICCITX.0 2024 conference in Rabat during September 22nd-24th, 2024, we are organizing a special session on the optimization of Healthcare Management Systems. We have the pleasure to invite you to participate to it.

Session Abstract:

The hospital’s logistics function is complex; it manages the flow of products and very different distribution channels and constraints and meets strict safety and traceability. Healthcare is one of the sectors that can offer many practical application challenges to the optimization and the decision-making community. This special session focusses on applications, algorithms, and decision supports related to healthcare management systems. It aims to provide the public with an overview of current research themes in operational research and statistics applied to the field of health. Additionally, the session aims to stimulate new ideas and interesting discussions on different applications of optimization techniques to healthcare data.

Session topics:

The topics of interest for this invited session include, but are not limited to:

• Performance of the hospital supply chain.

• Integration of decision support tools into hospital’s logistics flows.

• Optimization of the choice and selection of suppliers.

• Reverse logistics.

• Capacity planning and scheduling.

Session keywords: 

Optimization, Healthcare Management Systems, Capacity planning and scheduling.

Session Abstract: 

The integration of advanced modeling techniques with emerging technologies has the potential to revolutionize healthcare systems, improving patient outcomes, enhancing operational efficiency, and facilitating innovative approaches to healthcare delivery.

Modeling techniques can help in understanding and predicting health trends within populations, aiding in the development of targeted interventions and policies.

Optimization methods can be employed to allocate healthcare resources efficiently, such as hospital beds, staff, and medical supplies. It can also assist in developing personalized treatment plans, considering individual patient characteristics and available medical resources.

The main objectives of this special session are :

1.     Highlight recent developments in healthcare system modeling and optimisation,

2.     Explore the integration and impact of emergent technologies in healthcare systems,

3.     Discuss practical applications, challenges, and future directions related to the topics of this special session.

Session topics:

The topics of interest for this session include, but are not limited to:

• Epidemiological Modeling

• Mathematical Models for Chronic Disease Management

• Patient Flow Optimization

• Optimization in Healthcare Operations

• Healthcare and Markov Chains, Game Theory and Dynamic Programming Approaches

• Simulation Modeling for Healthcare

• Integration of Modeling and Emerging Technologies in Health Systems

• Blockchain for Secure Health Data Management

• IoT and Heathcare Systems

• IoT-Driven Remote Patient Monitoring

• Smart Healthcare Systems

• Predictive Analytics and Machine Learning

• Artificial Intelligence and Machine Learning in Healthcare

• Data Analytics and Machine Learning in Healthcare

• Combining Modeling and AI for Decision Support

• Risk Assessment and Management

• Future Trends in Modeling and Emerging Technologies for Healthcare Systems

Session keywords: 

Healthcare Systems, Modeling, Optimisation Approches, Simulation, Blochchain Technology, Artificial Intelligence, Big Data, Security, Internet of Things. 

Session Abstract: 

The rapid evolution of technology and the increasing amount of data available in the healthcare sector have opened up vast opportunities for the application of advanced optimization methods. This special session focuses on the most innovative and effective solutions related to the integration of technology and optimization in healthcare management systems.

We aim to provide an overview of current research themes in the fields of operations research, statistics, and technology, specifically as they apply to the health domain. The session will foster discussions on diverse applications of advanced optimization techniques within healthcare data management, interoperability, and analysis.

Session topics:

The topics of interest for this session include, but are not limited to:

• Advanced optimization methods applied to Electronic Medical Records (EMR) management

• Interoperability solutions in healthcare systems leveraging optimization techniques

• Application of artificial intelligence and machine learning in optimizing healthcare decision-making processes

• Integration of decision support tools optimized for data management in healthcare

• Innovative approaches to optimizing patient-centric healthcare delivery models

• Optimization strategies for healthcare data management, including data quality, security, and privacy

• Emergency management optimization using advanced data analytics and technology

Session keywords: 

Healthcare, Technology, Advanced Optimization Methods, Innovative approaches, Emergency management optimization, Interoperability solutions.

Session Abstract: 

The special session on “Technological Applications Based on Heuristic and Metaheuristic Approaches” aims to bring together researchers, experts, engineers, software developers working on the application of optimization techniques combining the original objective and (some of) the constraints in various technological domains. In this context, it is important and necessary to develop new optimization tools based on a better consideration of specificities of innovative technologies to respond to major societal and environmental challenges. The focus will be on heuristic and metaheuristic approaches, mainly with non-linear and non-convex natures, in a reasonable time and especially with bilevel optimization under uncertainty, exploring their challenges, opportunities, and outcomes in contexts such as robotics, industrial systems, smart-grids, electric vehicle, cyber-physical systems, logistics and supply chain management, telecommunications, etc.

Session topics:

The session topics cover a range of applications where optimization techniques play a crucial role, showcasing the diverse and impactful applications of heuristic and metaheuristic approaches in technology domains:

• Energy Optimization in Sustainable Technologies

• Optimization in Robotics and Automation

• Sustainable Transport Optimization

• Renewable Energy

• Control and Optimization with Industrial Applications

• Optimization Dynamics

• Smart Cities and IoT Optimization

• Machine Learning Optimization

• Optimization in Data Science and Big Data

• Game Theory and Optimization in Technology

Session keywords: 

Optimization Techniques, Real-time Optimization, Heuristic Methods, Metaheuristic Approaches, Modeling and Optimization Strategies, Energy Optimization, Smart Grid Design, Trajectory Optimization in Robotics, Manufacturing Processes, Electric Vehicles, Communication in IoT Networks.

Session Abstract: 

The conference session on "Optimization of Industrial Systems" delved into the multifaceted realm of enhancing efficiency and productivity in industrial settings. This session encapsulated an array of vital themes within the field, including optimization algorithms, supply chain efficiency, lean manufacturing, energy conservation, data analytics, industrial automation, and sustainability. Experts shared cutting-edge strategies, technologies, and real-world case studies, demonstrating how these optimization techniques are revolutionizing industrial operations. In a world where efficiency and sustainability are paramount, this session provided a snapshot of the latest advancements and their far-reaching implications for industry.

Session topics:

• Optimization Algorithms and Methods: This track will focus on the various optimization algorithms and mathematical models used to enhance industrial processes.

• Supply Chain and Logistics Optimization: This track will explore strategies for optimizing supply chains, including demand forecasting, inventory management, and transportation logistics.

• Lean Manufacturing and Process Optimization: Attendees can delve into lean manufacturing principles and case studies of successful implementations.

• Energy Efficiency and Sustainability: This track will highlight energy-saving practices, sustainable manufacturing, and the integration of renewable energy sources into industrial systems.

• Data Analytics and Big Data for Optimization: Attendees interested in data-driven decision-making can explore the utilization of data analytics, machine learning, and big data.

• Industrial Automation and Industry 4.0: This track will cover the latest advancements in automation and smart manufacturing for improved industrial efficiency.

• Sustainability and Environmental Impact: Attendees can learn about reducing the environmental footprint of industrial systems, sustainable practices, and green manufacturing.

• Quality Control and Continuous Improvement: Topics related to quality control methods, Six Sigma, and continuous improvement initiatives within industrial systems.

• Risk Management and Resilience: Strategies for risk assessment, mitigation, and enhancing the resilience of industrial systems.

• Maintenance and Reliability Optimization: Discussion on predictive and preventive maintenance techniques, as well as reliability optimization in industrial equipment.

• Human Factors and Workforce Optimization: This track will address the role of human factors, employee training, and workforce optimization in industrial processes.

• Emerging Technologies: Exploring cutting-edge technologies and trends that are transforming industrial optimization, such as AI, blockchain, and IoT.

Session keywords: 

Optimization, Industrial systems, Supply chain, Lean manufacturing, Energy efficiency, Data analytics, Sustainability, Logistics, Big data, Industry 4.0, Environmental impact, Quality control, Maintenance, Digital Twin, Emerging technologies.

Session Abstract: 

The optimization of intelligent scheduling dilemmas within a Smart Factory encapsulates a strategic fusion of advanced technological paradigms and operational efficiency. Smart Factories represent an evolution in manufacturing, intertwining digitalization, automation, and interconnected systems. Smart Factory systems leverage advanced technologies like IoT (Internet of Things), AI (Artificial Intelligence), and robotics, transforming traditional manufacturing processes. The scheduling challenges within such environments involve intricate interdependencies, including machine capabilities, task prioritization, resource allocation, and real-time adjustments. This session aims to present a comprehensive analysis of various intelligent scheduling algorithms and optimization techniques tailored to the unique demands of Smart Factory operations. It explores the effectiveness of approaches such as machine learning, genetic algorithms, and hybrid methodologies in devising schedules that enhance production efficiency, reduce downtime, and mitigate operational bottlenecks. Additionally, it scrutinizes the adaptation of Industry 4.0 principles to smart scheduling strategies, emphasizing adaptability and responsiveness in dynamic manufacturing settings.

Session topics:
The topics of interest include, but are not limited to:

• Mathematical programming models of intelligent scheduling problems

• Exact and hybrid algorithms

• Simulation and robust optimization

• Modern meta-heuristic algorithms

• Multi-criteria decision-making methods

• Other related topics

Session keywords: 

Intelligent scheduling; Optimization Techniques; Smart Factory; Industry 4.0; Production Efficiency; Scheduling Algorithms; Real-time Adaptability.

Session Abstract: 

In the wake of Industry 4.0, the healthcare industry has seen a profound transformation driven by advanced technologies like the Internet of Things (IoT), Artificial Intelligence (AI), blockchain, and robotics. These innovations have not only revolutionized healthcare processes but have also paved the way for substantial improvements in performance and efficiency. This conference session will provide an in-depth exploration of how Industry 4.0 technologies, coupled with optimization, modeling, and resource workflow enhancements, are reshaping healthcare for the better. 

Session topics:

• IoT in Healthcare: Learn how IoT devices, ranging from wearable health trackers to smart medical equipment, have improved patient monitoring and data collection. Discover how these technologies optimize data flow, leading to enhanced healthcare performance. 

• AI and Data Analytics: Explore real-world examples of AI-driven diagnostic tools and data analytics that significantly improve clinical decision-making and treatment outcomes. Discover how these technologies enhance overall performance. 

• Blockchain and Data Security: Delve into the secure and transparent sharing of medical records through blockchain technology. Learn how blockchain ensures data integrity, boosting trust and confidence in healthcare data management, and ultimately contributing to performance enhancement. 

• Robotics in Healthcare: Understand the integration of robotics in healthcare, from surgical assistance to patient care. Explore how these robotic systems optimize workflows, reduce errors, and improve efficiency, leading to better overall performance. 

• Optimizing Healthcare Processes: Discover how process optimization strategies are applied to streamline operations, reduce costs, and enhance the patient experience. Learn about the direct impact of these optimizations on the overall performance of healthcare institutions. 

• Modeling and Digital twin Simulation: Explore how modeling and digital twin simulation techniques are used to forecast trends, improve resource allocation, refine healthcare processes and optimize hospital supply chain management. Learn how these tools contribute to enhanced performance through data-driven decision-making. 

• Optimizing Resource and Workflow: Gain insights into the strategies employed to optimize resource allocation and flow processes in healthcare settings. Discover how these optimizations drive efficiency and improved performance of Hospital supply chain. 

Session keywords: 

Industry 4.0, Hospital Supply Chain 4.0, IoT in Healthcare, Artificial Intelligence, Digital Twin, Big data, Modeling and Simulation, Flows Optimization, Emergency Supply Chain. 

Session Abstract: 

Nowdays, Artificial intelligence (AI) technologies are increasingly prevalent in healthcare. AI innovations have the potential to transform many aspects of patient care and administrative processes.

In this context, the objective of this session is to present the latest research which shows the interest in the use of artificial intelligence in the field of health.

Session topics:

The topics of interest for this session include, but are not limited to:

• Machine learning in healthcare.

• Deep learning in healthcare.

• Robotics in healthcare.

• Prediction of diseases.

• Medical image processing using artificial intelligence.

• Telemedecine.

• AI and patient privacy

Session keywords: 

Artificial Intelligence, Machine learning, Deep learning, Reinforcement learning, healthcare.

Session Abstract: 

L'innovation est un champ de recherche carrefour. Il se situe à l'intersection de plusieurs spécialités telles que L’Ingénierie, La Recherche & Développement, l'IA, etc. Cette prédominance pour la recherche technologique passe sous silence que l'Innovation est aussi un sujet de prédilection des sciences sociales telles que la Sociologie et le Management. Les Innovations Managériales ou organisationnelles se définissent comme une nouvelle configuration de système sociotechnique pour permettre aux organisations une plus grande croissance dans son domaine. Elles peuvent concerner le choix d'une nouvelle orientation stratégique, une modification de la structure, l'adoption d'un nouveau mode de management, etc. Elles sont plus tournées vers l'intérieur de l'organisation. Par opposition aux innovations technologiques qui sont orientées vers l'extérieur. En l'occurrence, vers les clients, les usagers, etc. Ce champ novateur occupe moins de place dans le débat malgré son rôle fondamental pour comprendre la genèse de l'innovation, le changement qu'elle implique et les difficultés pour fédérer toutes les parties prenantes autour de l'innovation.

Session topics:

• Innovations Managériales.

• Innovations Organisationnelles.

• Sociologie de l'Innovation.

• Les Barrières à l'Innovation dans les organisations marocaines.

• L'innovation dans les établissements sanitaires.

• Le Lean Healthcare comme exemple d'Innovation managériales.

Session keywords: 

Innovation Managériale, Lean Healthcare, Disruption, Innovation de rupture, Changement.