It is our great pleasure to announce the second International Conference on Optimization and Data Science in Industrial Engineering.
In collaboration with Istinye University in Istanbul, ODSIE 2024 will be held online, bringing together faculty members, scholars, educators, industry experts, and university students from across the world. The conference aims to provide a platform for the exchange of information, experiences, and recent theoretical and practical achievements in optimization and data science within industrial engineering, encompassing both research and industry.
ODSIE 2023 presents an exceptional opportunity for experts to address current national and international data science and optimization issues and foster collaboration between universities and industries. In addition to paper presentations and invited keynote speakers, the conference will feature informative workshops and programs, details of which can be found on our website. The conference will warmly welcome all researchers, lecturers, and students, as well as managers and experts in the field of engineering management and IT. The conference language would be English and the papers could be submitted and presented in English and Turkish. The selected papers will be sent for publication to the journals that are mentioned on the website.
Submissions falling into the area of Optimization and Data Science are encouraged. Full papers and abstracts are accepted for presentation at the conference and publication in the proceeding. Both theoretical and applied papers, including case studies, that focus on the application of exact and approximate optimization methods as well as data science and engineering tools to improve decision-making in the following areas and beyond are cordially welcome.
- Industry 4.0, IoT, and smart manufacturing
- Digital twin and virtual commissioning
- Sustainable and smart cities
- Artificial intelligence and expert systems
- Metaheuristic algorithms with applications in IE
- Machine learning algorithms
- Big data analytics and Data mining
- Robotic process automation
- Decision support systems
- E-Government, E-Commerce and E-Learning
- Facilities design and planning
- Supply chain design and logistics
- Transportation and routing
- Inventory planning, Production, and scheduling
- Quality control and reliability engineering
- Project management
- Fintech and algorithmic finance
- Quantitative finance and risk modeling
- Integrated manufacturing and Enterprise resource planning
- Maintenance planning
- Process/Systems design and improvement
- Optimization and Data Science based Case studies of manufacturing/ service industries (including Automotive, Food, Tourism, Petroleum, Healthcare, Insurance and Banking, Energy, etc.)
- Other fields of study related to Optimization and Data Science with applications in IE