DOE Intermediate Introduction
				
					- Do you know if your process is optimized? 
 
					- Do you have a sensitive process difficult to optimize?
 
					- Do you have a process that must be minimized (or maximized)? 
 
					- Do you have a process or product where only one or two factors are critical?
 
				 
				
					Design of Experiments Intermediate (DOE Intermediate) is a method of process optimization using the technique of steepest assent . When a region of near-optimum is reached, a contour map of the response surface is studied to find the minimum, maximum or saddle point. Delegates can apply this method in a variety of optimizations particularly those related to yield or defectives.
				 
				
					Benefits Of Attending The DOE Intermediate Training
				
					The DOE Intermediate Training enables the delegates to: 
					
						- Understand Classical Design of Experiments. 
 
						- Apply the method of steepest assent to search for optimum conditions. 
 
						- Use response surface methodology to study a quadratic surface. 
 
						- Use Central Composite Designs in advanced experimentation. 
 
					 
					
						Who Should Attend The DOE Intermediate Training ?
					
						DOE Intermediate is particularly useful for those involved in controlling process or product parameters. It will be most appropriate for those involved in Design, Quality, R&D, Reliability, Maintenance, Engineering, Manufacturing and Production. Teams are encouraged to attend for maximum benefit.
					 
					
						Brief DOE Intermediate Training Outline
					
						
							
								
									
										
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												Day 1 (AM) | 
										 
										
											
												
													- Classical DOE
 
													- Linear model 
 
													- Gradient
 
													- Contour mapping
 
													- Excel functions 
 
												 
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												Day 1 (PM) | 
										 
										
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													Steepest Ascent  
													
														- Simple calculations
 
														- Coding, decoding
 
														- Stepping, step size
 
														- Near optimum 
 
													 
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												Day 2 (AM) | 
										 
										
											
												Response Surface 
												
													- Quadratic model
 
													- Contour mapping
 
													- Establishing eigen-values
 
													- Stability (min, max) 
 
												 
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												Day 2 (PM) | 
										 
										
											
												Central Composite Designs 
												
													- Simplex designs
 
													- Rotatable designs
 
													- Orthogonal Composite
 
													- Choice of design 
 
												 
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												Day 3 (AM) | 
										 
										
											
												Nearly Uniform Information 
												
													- Axial-corner mapping
 
													- Interpretation 
 
												 
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												Day 3 (PM) | 
										 
										
											
												Course conclusion 
												
													- RSM in perspective
 
													- Summary
 
													- Close 
 
												 
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