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Hi, I need help with a DOE project. Need to know what are the optimum level settings for each factor. Appreciate the help.Below is all the data I have: Objective: You recommend using a design of experiments approach to hopefully realize a breakthrough improvement. The team brainstorms a long list of possible reasons why the wait times are so long. From that list, the team has reduced it down to 5 factors they want to include in an experiment. They do not suspect any interactions, so they conclude a resolution III will be adequate. They refer to the resolution matrix (in Analyzing Fractional Factorial Designs Lecture - Part 2 in your notebook) and they find they can learn about the effects of those five factors in as little as 8 experiments. Instructions for you: Construct an main effects plot for all five of the factors. We will do the first one for you as an example: Take an average of the wait time minutes (y) when &quote;staff size&quote; was at (-). Then, do the same thing for when the results (y) when &quote;staff size&quote; was at (1). When at (-1) When at (+1) 7 9 28 25 26 8 6 28 Average 16.75 17.50 Data: The factors for the experiment were: - level + level A Staff size 8 16 B Order of treatment FIFO By priority C Method of treatment Iterative All at once D Tracking software Product A Product B E Temp. in the waiting room 68 degrees 75 degrees The design below was taken from Minitab. There are other software packages that provide the same information. There can also be found in Design of Experiments textbooks. Trial Staff sz Order Method Software Rm temp Results (Y) (patient wait time measured in minutes) 1 1 1 -1 -1 -1 9 2 -1 -1 -1 1 1 7 Excel 2003 Tip 3 1 1 1 1 -1 25 4 -1 -1 1 1 -1 28 Excel 2007 Tip 5 -1 1 1 -1 1 26 6 1 -1 -1 1 1 8 7 1 -1 1 -1 -1 28 8 -1 1 -1 -1 1 6

Author: tbrazi@yahoo.com
Posted: 02/24/2016
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