MatriX Experiments Using Orthogonal Arrays Robust System Design mit 人 16881
Matrix Experiments Using Orthogonal Arrays Robust System Design 16.881 MIT
Comments on HW#2 and Quiz #1 Questions on the Reading Q Brief lecture Paper Helicopter Experiment Robust System Design mit 人 16881
Comments on HW#2 and Quiz #1 Questions on the Reading Quiz Brief Lecture Paper Helicopter Experiment Robust System Design 16.881 MIT
Learning objectives Introduce the concept of matrix experiments Define the balancing property and orthogonality Explain how to analyze data from matrix experiments Get some practice conducting a matrix experiment Robust System Design mit 人 16881
Learning Objectives • Introduce the concept of matrix experiments • Define the balancing property and orthogonality • Explain how to analyze data from matrix experiments • Get some practice conducting a matrix experiment Robust System Design 16.881 MIT
Static Parameter Design and the P-Diagram Noise factors Induce noise Product Process Signal Factor Response Hold constant Optimize fora“ static Control Factors experiment Vary according to an experimental plan Robust System Design mit 人 16881
Static Parameter Design and the P-Diagram Noise Factors Induce noise Product / Process R esp o nse Signal Factor Hold constant Optimize for a “static” experiment Control Factors Vary according to an experimental plan Robust System Design 16.881 MIT
Parameter Design Problem Define a set of control factors(A, B, C.) Each factor has a set of discrete levels Some desired response n(a, B, c.)is to be maximized Robust System Design mit 人 16881
Parameter Design Problem • Define a set of control factors (A,B,C…) • Each factor has a set of discrete levels • Some desired response η (A,B,C…) is to be maximized Robust System Design 16.881 MIT