As we will see later, custom designs can offer significant advantages even in a simple two-factor experiment like this. For an incredibly modest fee, The Experiment Strategies Foundation will generate a custom design for you. Here is Peter's scrambled data list. Each of the numbers above for Peel, Loop, Shear, and Cost is the average of a pair of replicates. Your chance of finding the best sweet spot improves when more replicates go into each average, but then the costs are higher.
Budget dictates compromise.
If you've been following along with pencil and paper, scramble your runs as Peter did and add as many columns as you need for responses. Run the trials in scrambled run order and write down the measurements for each of the responses. The selection of the model and the design determine the runs to make. Careful execution of each run and accurate recording of the response data provide the necessary basis for predicting the results of the trials that you chose not to run. When you enter the data, DO NOT average your runs as shown above.