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

6th - 7th May 2027 , Winnipeg - Canada

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Call For Papers

The (ICORSIE-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Statistics, Industrial Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.