International Conference on Applied Mathematical Modeling in Industrial Processes
(ICAMMIP - 27)

29th - 30th May 2027 Frankfurt, Germany (Hybrid Event)

Call for Paper

The ICAMMIP 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 Applied Mathematics, Mathematical Modeling, 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:

  • Mathematical modeling in industrial processes
  • Optimization techniques for manufacturing systems
  • Applications of simulation in industry
  • Statistical process control in manufacturing
  • Mathematical modeling of production systems
  • Data analytics in industrial applications
  • Stochastic modeling in supply chain management
  • Applications of queuing theory in industry
  • Optimization in logistics and distribution
  • Mathematical modeling of quality control
  • Applications of operations research in industry
  • Statistical methods for production planning
  • Mathematical modeling of energy systems
  • Simulation techniques for industrial processes
  • Applications of machine learning in manufacturing
  • Statistical analysis of operational efficiency
  • Mathematical modeling of inventory systems
  • Optimization in resource allocation
  • Statistical methods for demand forecasting
  • Applications of mathematical modeling in industry
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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