uality Tools Design of Experiments Description This template illustrates DOE or Design of Experiments sometimes called a Statistically Designed Experiment. A detailed discussion of DOE can be found at www.ASQ.org Learn About Design of Experiments Instructions Run Order 1 2 3 4 5 6 7 8 Body Open Heading AxB AxC BxC AxBxC Trial 1 Trial 2 6 8 1 4 2 5 3 7 -1 -1 -1 -1 1 1 1 1 -1 -1 1 1 -1 -1 1 1 -1 1 -1 1 -1 1 -1 1 1 1 -1 -1 -1 -1 1 1 1 -1 1 -1 -1 1 -1 1 1 -1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 1 46 34 56 68 25 22 21 19 38 38 59 80 27 32 23 33 Enter the High and Low levels for factor A, B and C. Names and Levels are recommended but not required. Factor Letter Low Setting High Setting Body Open Heading A B C -1 -1 -1 1 1 1 -2 7.12 5 A Run each of the eight combinations in random order using the Run Order Column. Trial 4 Trial 5 6.375 3.875 -1.375 -4.875 -14.62 5 C AxB AxC BxC AxBxC Select Factor or Interaction for Calculation Details: Collect at least one output measurement for each of the eight runs. Five are recommended. A Review the bar graph to identify the factors or interactions having the greatest effect. C If the effect of an interaction is shown to be large, use the interaction plots to determine the best settings that will optimize the output. High (+1) settings: Ax B Learn About Quality 57.5 27 26 ) = 38.125 Ax C Bx 38.125 39.5 -1.375 C Ax C Low (-1) settings: Bx average ( 36 74 A x C Interaction 26 22 ) = 39.5 60 5 5 50 4 9 .75 A LO To learn more about other quality tools, visit the ASQ Learn About Quality web site. 42 - Detailed calculations can be displayed by clicking on the radio button for any factor or interaction. Learn More Effect: B average ( A HI 1 2 Avg 1 2 Avg C LO 42 57.5 49.75 26 22 24 C HI 36 74 55 27 26 26.5 40 30 20 C LO 26.5 24 10 0 A LO Avg 42 36 57.5 74 26 27 22 26 M a in Ef f ec t s a nd Int era ct io ns Do Not Change Factor Name 5 12 .12 5 1 -1 1 -1 -1 1 -1 1 0 B Trial 3 A HI 1 2 3 4 5 6 7 8 Run Order #6 #8 #1 #4 #2 #5 #3 #7 Body Open -1 -1 -1 -1 1 1 1 1 -1 -1 1 1 -1 -1 1 1 Headin g -1 1 -1 1 -1 1 -1 1 AxB AxC BxC AxBxC 1 1 -1 -1 -1 -1 1 1 1 -1 1 -1 -1 1 -1 1 1 -1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 1 A LO A HI Sample Sample Sample Sample Sample 1 2 3 4 5 46 38 34 38 56 59 68 80 25 27 22 32 21 23 19 33 C LO 49.75 24 C HI 55 26.5 B LO B HI C HI 31.5 50 A LO A HI B LO 39 26.5 B HI 65.75 24 A LO A HI C LO 49.75 24 C HI 55 26.5 Effect Effect Effect Effect Effect Effect Effect 50 40 C L O 30 20 10 of A of B of C of AxB of AxC of BxC of AxBxC 0 A LO -27.125 12.125 3.875 -14.625 -1.375 6.375 -4.875 A HI A x C Interaction 1 2 A LO Avg 70 60 60 C HI 36 74 A X C Int eract io n 40 40 B L O 30 30 A HI 27 26 24 26.5 B X C Int eract io n 50 C LO C HI 40 C LO 30 20 10 10 55 26 22 60 20 20 49.75 1 2 A HI 50 50 0 A LO C LO 42 57.5 Avg Radio Button 5 A X B Int erac t io n 42 36 57.5 74 26 27 22 26 60 Factor Factor Lo Hi Name Letter Setting Setting Body A -1 1 Open B -1 1 Heading C -1 1 C LO 34 39.75 Avg 10 0 A LO A HI 0 B LO B HI This template was written for the American Society for Quality by Stat Aids Your feedback is welcome and encouraged. Please e-mail to: Stat_Aids@yahoo.com Week 8 Case Study 2 - Submit Here Students, please view the "Submit a Clickable Rubric Assignment" video in the Student Center. Instructors, training on how to grade is within the Instructor Center. Case Study 2: Improving E-Mail Marketing Response Due Week 8 and worth 160 points Read the following case study. Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. A company wishes to improve its e-mail marketing process, as measured by an increase in the response rate to e-mail advertisements. The company has decided to study the process by evaluating all combinations of two (2) options of the three (3) key factors: E-Mail Heading (Detailed, Generic); Email Open (No, Yes); and E-Mail Body (Text, HTML). Each of the combinations in the design was repeated on two (2) different occasions. The factors studied and the measured response rates are summarized in the following table. 1. 2. 3. Write a two to three (2-3) page paper in which you: Use the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. Determine the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Provide a rationale for your response. Recommend the main actions that the company could take in order to increase the response rate of its e-mail advertising. Provide a rationale for your response. 4. Propose one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Provide a rationale for your response. Your assignment must follow these formatting requirements: Be typed, double spaced, using Times New Roman font (size 12), with oneinch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. Include a cover page containing the title of the assignment, the student's name, the professor's name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are: Build regression models for improving business processes. Design experiments to test cause-and-effect relationships in business processes. Use technology and information resources to research issues in business process improvement. Write clearly and concisely about business process improvement using proper writing mechanics. Click here to view the grading rubric