This paper addresses a multi-objective order scheduling problem in production planning under a complicated production environment with the consideration of multiple plants, multiple production departments and multiple production processes. A Pareto optimization model, combining a NSGA-II-based optimization process with an effective production process simulator, is developed to handle this probl...

In this study simulation and optimization of an industrial acetylene hydrogenation reactor was studied. Three well known kinetic models were used for a nearly similar catalyst to predict the industrial data. Due to the complexity of the reactions, none of the offered kinetic models could be considered as an exact kinetic model and it is necessary to determine the kinetic parameters. One of the ...

The two most widely used neural models, multilayer perceptron (MLP) and radial basis function network (RBFN), are presented in the framework of system identification and control. The main steps for building such nonlinear black box models are regressor choice, selection of internal architecture, and parameter estimation. The advantages of neural network models are summarized: universal approxim...

Climate change, limited fossil resources and steady population growth drive industrial development of sustainable biomass based processes for production of fuels, platform and specialty chemicals. In this context phototrophic microalgae cultivation processes are poised to play a central role for development of next generation bioprocesses due to high cellular growth rates and excellent yields o...

Multi-objective optimization of industrial styrene reactor is done using Harmony Search algorithm. Harmony search algorithm is a recently developed meta-heuristic algorithm which is inspired by musical improvisation process aimed towards obtaining the best harmony. Three objective functions – productivity, selectivity and yield are optimized to get best combination of decision variables for sty...

The Measurement and Control Engineering Center (MCEC), a National Science Foundation Industry/University Cooperative Research Center (I/UCRC), is a cooperative venture among Oklahoma State University, The University of Tennessee, Oak Ridge National Laboratory, the National Science Foundation, and numerous industrial partners. Current research efforts include two projects where opportunities for...