Moeed Haghnevis, Ph.D.

Affiliations: 
2013 Industrial Engineering Arizona State University, Tempe, AZ, United States 
Area:
Industrial Engineering, Operations Research, Energy
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"Moeed Haghnevis"

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Dieter Armbruster grad student 2013 Arizona State
 (An Agent-Based Optimization Framework for Engineered Complex Adaptive Systems with Application to Demand Response in Electricity Markets.)
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Publications

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Haghnevis M, Askin RG, Armbruster D. (2015) An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems Socio-Economic Planning Sciences
Shinde A, Haghnevis M, Janssen MA, et al. (2013) Scenario analysis of technology products with an agent-based simulation and data mining framework International Journal of Innovation and Technology Management. 10
Azadeh A, Raoofi Z, Haghnevis M, et al. (2012) A unique fuzzy simulation approach for concurrent improvement of customer satisfaction in integrated information and production processes with ambiguity Concurrent Engineering Research and Applications. 20: 287-299
Haghnevis M, Askin RG. (2012) A modeling framework for engineered complex adaptive systems Ieee Systems Journal. 6: 520-530
Fu M, Askin R, Fowler J, et al. (2011) Batch production scheduling for semiconductor back-end operations Ieee Transactions On Semiconductor Manufacturing. 24: 249-260
Haghnevis M, Shinde A, Askin RG. (2011) An integrated optimization and agent-based framework for the U.S. power system Procedia Computer Science. 6: 451-456
Haghnevis M, Askin RG. (2011) Modeling properties and behavior of the US power system as an engineered complex adaptive system Aaai Fall Symposium - Technical Report. 76-79
Azadeh A, Haghnevis M, Khodadadegan Y. (2010) Modelling priority queues with dependent service discipline by computer simulation International Journal of Industrial and Systems Engineering. 6: 79-91
Azadeh A, Haghnevis M, Khodadadegan Y. (2009) An improved model for production systems with mixed queuing priorities: An integrated simulation, AHP and Value Engineering approach International Journal of Industrial and Systems Engineering. 4: 536-553
Azadeh A, Haghnevis M, Khodadadegan Y, et al. (2009) Modeling and improvement of the integrated business and production processes by fuzzy simulation 42nd Annual Simulation Symposium 2009, Anss 2009, Part of the 2009 Spring Simulation Multiconference. 101-108
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