Saeed Emami

Saeed Emami

سعید امامی
Email:  s_emami[at]nit.ac.ir

Assistant Professor
 
Qualifications
BSc (2000-2004)  in Industrial Engineering, Isfahan University of Technology, Isfahan, Iran.
MSc (2005-2007) in Industrial Engineering, Isfahan University of Technology, Isfahan, Iran.
PhD (2010-2015) in Industrial Engineering, Isfahan University of Technology, Isfahan, Iran.
 
Research Interests
  • Order Acceptance and Scheduling
  • Production Planning
  • Robust Optimization
  • Decomposition Algorithms (e.g. Benders Decomposition, Lagrangian Relaxation, ...)
  • Meta Heuristic Algorithms (e.g. Nested Partitions, NSGA-II, ...)
 
Honors and Awards
 
Previous and Present Positions
 
Professional Membership
 
Teaching Experiences

Undergraduate Courses

  • Probability Theory
  •  Engineering Statistics
  •  Engineering Economy
  •  Production Planning
  •  Inventory Control I&II
  •  Linear Algebra
  •  Simulation
  • Decision Analysis
  •  Application of Computer in Industrial Engineering

Graduate Courses

  • Fuzzy Sets Theory
  •  Queuing Theory
  •  Statistical Methods
  • Combinatorial Optimization
 
Publications
1-    R  Hejazi and S. Emami and A. Arkan, “ A Heuristic Algorithm for Minimizing the Expected Makespan in Two-Machine Flow Shops with Fuzzy Processing Time” Journal of  Uncertain Systems, Vol.3, No.2, pp.144-122, 2009.

2-   
A. Shahandeh, S. Emami, M. Rahdar, “Production inventory system of deteriorating items with inflation induced demand”, International Journal of Industrial Engineering & Production Management, No. 20 (4), winter 2010, 39-51.

3-   
S. Emami & A.S. Nookabadi” Managing a new multi-objective model for the dynamic facility layout problem” The International Journal of Advanced Manufacturing Technology,Vol. 68, 2013, 2215–2228.

4-
  S. Emami, M.S. Sabbagh, G. Moslehi” Integrated order acceptance and scheduling problem with non-identical parallel machines in a make-to-order system” International Journal of Industrial Engineering & Production Management,2013.

5-  S. Emami, M.S. Sabbagh, G. Moslehi” A Lagrangian relaxation algorithm for order acceptance and scheduling problem: a globalized robust optimization approach” International  Journal of Computer Integrated Manufacturing, DOI:10.1080/0951192X.2015.1068452, 2015.

6-  S.Emami and G Moslehi and M.S. Sabbagh” A Benders decomposition approach for order acceptance and scheduling problem: a robust optimization approachComputational and Applied Mathematics, DOI: 10.1007/s40314-015-0302-8, 2015.


 
Supervised Dissertations and Theses
 
Research Projects
 
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