Tham khảo tài liệu 'business process improvement_10', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . Multiple responses The desirability approach Optimization performed by Design-Expert software Diagram of desirability functions and optimal solutions Best Solution Optimization of D with respect to x was carried out using the Design-Expert software. Figure shows the individual desirability functions djff for each of the four responses. The functions are linear since the values of s and t were set equal to one. A dot indicates the best solution found by the Design-Expert solver. FIGURE Desirability Functions and Optimal Solution for Example Problem The best solution is x and results in dj Ỹ1 Ỹ1 x d2 Ỹ2 2 x d f Ỹ3 x d4 4 Y4 x The overall desirability for this solution is . All responses are predicted to be within the desired limits. http div898 handbook pri section5 4 of 5 5 1 2006 10 31 15 AM . Multiple responses The desirability approach 3D plot of the Figure shows a 3D plot of the overall desirability function D x for the X2 x3 plane when X1 overal1 is fixed at . The function D x is quite flat in the vicinity of the optimal solution indicating itetirability that small variations around X are predicted to not change the overall desirability drastically. function However the importance of performing confirmatory runs at the estimated optimal operating conditions should be emphasized. This is particularly true in this example given the poor fit of the response models . V2 . NIST SEMATECH FIGURE Overall Desirability Function for Example Problem HOME I TOOLS AIDS ISÉARCH BACK NỂX1 http div898 handbook pri section5 5 of 5 5 1 2006 10 31 15 AM . Multiple responses The mathematical programming approach ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK Nixf 5. Process Improvement . Advanced topics . How do you optimize a process . Multiple response case . Multiple .
