International Conference on Operations Research, Statistics and Industrial Engineering
(ICORSIE - 27)

10th - 11th May 2027 Fukuoka, Japan (Hybrid Event)

Call for Paper

The ICORSIE is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Statistics, Industrial Engineering, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Operations research in industrial applications
  • Statistical methods for operational efficiency
  • Optimization techniques in industrial engineering
  • Statistical analysis of production processes
  • Operations research and supply chain management
  • Statistical modeling of industrial systems
  • Econometric analysis of operational data
  • Statistical techniques for quality control
  • Operations research in logistics optimization
  • Statistical methods for decision-making processes
  • Operations research applications in healthcare
  • Statistical analysis of service operations
  • Operations research in project management
  • Statistical modeling of inventory systems
  • Operations research and risk management
  • Statistical techniques for workforce optimization
  • Operations research in transportation systems
  • Statistical analysis of operational performance
  • Operations research in energy management
  • Statistical methods for business analytics
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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