AFTER

Call For Papers

The ICAMMIP 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 Applied Mathematical Modeling In Industrial Processes 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:

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

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.