Items where Department is "lndustrial and Systems Engineering" and Year is 2016

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Number of items: 14.

Modelling And Control Of Capacitive De-Ionization Desalination System. Masters thesis, King Fahd University of Petroleum and Minerals.

Turnaround Maintenance Planning for a Network of Plants Using Mathematical Programming Model. Masters thesis, King Fahd University of Petroleum and Minerals.

On Risk and Uncertainty in Inventory Problems with Stochastic Nature. PhD thesis, King Fahd University of Petroleum and Minerals.

LQR FORMATION CONTROL WITH COLLISION AVOIDANCE OF MULTIPLE QUADROTORS. Masters thesis, King Fahd University of Petroleum and Minerals.

Multiphase Flow Estimation using Digital Image Processing. Masters thesis, King Fahd University of Petroleum and Minerals.

Multi-Model Approach to Fault Detection, Isolation and Compensation: A Case Study of Industrial Pneumatic Control Valve. Masters thesis, King Fahd University of Petroleum and Minerals.

Multiphase Flow Estimation Using Image Processing. PhD thesis, King Fahd University of Petroleum and Minerals.

CONTROL AND OPTIMIZATION OF NOx EMISSION AND EFFICIENCY IN BOILERS. Masters thesis, King Fahd University of Petroleum and Minerals.

Wind Gusts Disturbance Rejection for a Quadrotor with Tilted Rotors. Masters thesis, King Fahd University of Petroleum and Minerals.

AN INTEGRATED OPTIMIZATION MODEL FOR PRODUCTION SCHEDULING MAINTENANCE AND QUALITY. Masters thesis, King Fahd University of Petroleum and Minerals.

INTEGRATED SUPPLY CHAIN MODELS WITH RANDOM DEMAND AND FLEXIBLE PRODUCTION PROCESS. Masters thesis, King Fahd University of Petroleum and Minerals.

A MARKOV DECISION PROCESS MODEL FOR LOGISTICS IN SUPPLY CHAIN. Masters thesis, King Fahd University of Petroleum and Minerals.

Triggering mechanisms in control systems design. PhD thesis, King Fahd University of Petroleum and Minerals.

Control and Optimization of Directional Drilling. Masters thesis, King Fahd University of Petroleum and Minerals.

This list was generated on Fri Apr 19 10:14:32 2024 +03.