Question 1 (500 words)
Why is it good or bad to operate an IT support services system (help desk) on a strictly, first-come, first-served basis?
Question 1a (500 words)
Explain how higher quality can lead to lower costs.
Question 2
Barbara Herdman is the manager of the marketing research department of J.E. Hall, Inc. She recently collected demand data for the last six years of a special product and then asked one of her associates, Mr. Brown, to forecast the data for the same past six years using the sales force composite method. The following data provide the details for Mr. Brown’s forecast:
Year |
Actual demand |
Mr. Brown’s forecast |
1 |
490 |
492 |
2 |
510 |
503 |
3 |
535 |
512 |
4 |
560 |
578 |
5 |
590 |
580 |
6 |
630 |
620 |
Complete the following:
Demand = 456 + 28x(t) where t is the code for the year (t = 1, 2, 3, 4, 5, or 6)
Forecast the demand for the seventh year using Barbara’s equation above.
Question 3
During registration at a university, students have their courses approved by the adviser. It takes the adviser an average of 2.8 minutes (exponentially distributed) to approve each schedule, and students arrive at the adviser’s office at the rate of 20 per hour (Poisson distributed).
Complete the following:
The registrar has received complaints from students about the length of time they must wait to have their schedules approved. The registrar is considering several ways to reduce the waiting time.
Question 4
Complete the following: Deming’s 14 Points for Implementing Quality Improvement
Which three of Deming’s 14 points do you feel are the most critical to the success of a total quality management (TQM) programme? Why?
Question 5
For this part (question4), you will need to use the POM-QM for Windows software:
Use the forecasting module that you opened in the POM-QM for Windows software to solve the case study on page 146 of the Heizer and Render (2011) textbook (Southwestern University). For this case study, you are required to build a forecasting model. Assume a linear regression forecasting model and build a model for each of the five games (five models in total) by using the forecasting module of the POM software.
Answer the three discussion questions for the case study, except the part requiring you to justify the forecasting as linear regression would be used.
Case Studies Southwestern University: (C)*
The popularity of Southwestern University’s football program under its new coach, Bo Pitterno, surged in each of the 5 years since his arrival at the Stephenville, Texas, college. (See Southwestern University: (A) in Chapter 3 and (B) in Chapter 4.) With a football stadium close to maxing out at 54,000 seats and a vocal coach pushing for a new stadium, SWU president Joel Wisner faced some difficult decisions. After a phenomenal upset victory over its archrival, the University of Texas, at the homecoming game in the fall, Dr. Wisner was not as happy as one would think. Instead of ecstatic alumni, students, and faculty, all Wisner heard were complaints. “The lines at the concession stands were too long”; “Parking was harder to find and farther away than in the old days” (that is, before the team won regularly); “Seats weren’t comfortable”; “Traffic was backed up halfway to Dallas”; and on and on. “A college president just can’t win,” muttered Wisner to himself.
At his staff meeting the following Monday, Wisner turned to his VP of administration, Leslie Gardner. “I wish you would take care of these football complaints, Leslie,” he said. “See what the real problems are and let me know how you’ve resolved them.” Gardner wasn’t surprised at the request. “I’ve already got a handle on it, Joel,” she replied. “We’ve been randomly surveying 50 fans per game for the past year to see what’s on their minds. It’s all part of my campuswide TQM effort. Let me tally things up and I’ll get back to you in a week.”
When she returned to her office, Gardner pulled out the file her assistant had compiled (see Table 6.6). “There’s a lot of information here,” she thought.
TABLE 6.6 Fan Satisfaction Survey Results (N = 250)
Discussion Questions
1. Using at least two different quality tools, analyze the data and present your conclusions.
2. How could the survey have been more useful?
3. What is the next step?
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