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Lotfi

Lotfi Gaafar

  • Position: Professor, Dean of the School of Science and Engineering
  • Department: Department of Mechanical Engineering
  • Email: [email protected]
Brief Biography

Lotfi Gaafar is a professor in the Department of Mechanical Engineering, dean of the School of Science and Engineering, and associate dean for Undergraduate Studies of the School of Sciences and Engineering. He graduated in 1982 from Ain Shams University from the mechanical engineering department. He earned his MSc in 1989 from Arizona State University and his PhD in 1992 from Arizona State University.

Research Interest
  • Automatic validation of simulation models 
  • Applications of mixture designs in simulation studies
  • Control charts for auto-correlated data 
  • Process mapping in business process reengineering  
  • Gaafar, L. and Aly, A. 2008. “Applying particle swarm optimization to dynamic lot sizing with batch ordering.” International Journal of Production Research, (Accepted)
  • Gaafar, L., Masoud, S., and Nassef, A. 2008. “Scheduling manufacturing systems using genetic algorithms in an agile environment.” Computers & Industrial Engineering (Accepted)
  • Gaafar, L., Nassef, A., and Aly, A. 2008. “Fixed quantity dynamic lot sizing using simulated annealing.” The International Journal of Advanced Manufacturing Technology, (Accepted)
  • Gaafar, L. 2006. “Applying Genetic Algorithms to Dynamic Lot Sizing with Batch Ordering.” Computers & Industrial Engineering, Vol. 51, pp. 433–444.
  • Gaafar, L. and Masoud, S.  2005. “Genetic algorithms and simulated annealing for scheduling in agile manufacturing.” International Journal of Production Research, Vol. 43, No. 14, pp. 3069-3085
  • Gaafar, L. and Saad, K., 2007.  "Factors Affecting National Technological Absorptive Capacity." Proceedings of the 13th International Conference on Industry, Engineering, and Management Systems, pp. 492-501
  • Gaafar, L. and Masoud, S.  2005. “Genetic algorithms and simulated annealing for scheduling in agile manufacturing.” International Journal of Production Research, Vol. 43, No. 14, pp. 3069-3085
  • MENG 341: Engineering Operations Research I
  • MENG 439: Advanced Manufacturing Processes 
  • MENG 446: Project Management 
  • MENG 447: Manufacturing Systems Automation
  • ENGR 543: System Modeling and Optimization