Project Quality Management Chapter 8 Discussion Questions Essays

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Project Quality Management CHAPTER 8 DISCUSSION QUESTIONS
Q1. Discuss some of the examples of poor quality in information technology projects presented in the “What Went Wrong?” section. Could most of these problems have been avoided? Why do you think there are so many examples of poor quality in information technology projects?

Answer: Many of these problems could be avoided by performing better quality management. One problem is that software and hardware is hitting the market too fast, so people selling these might be more concerned about money than safety or wellbeing of the consumers or the company in the long term.

Q2.What are the main processes included in planning project quality management?

Answer: The project quality …show more content…
Seeing it visually makes identifying both inefficiencies and potential improvements easier. * Check sheet: Also known as Data Collection sheets and Tally charts. Check sheets are non-statistical and relatively simple. They are used to capture data in a manual, reliable, formalised way so that decisions can be made based on facts. As the data is collected, it becomes a graphical representation of itself. Areas for improvement can then be identified, either directly from the check sheet, or by feeding the data into one of the other seven basic tools. * Scatter Plots: A Scatter Diagram, or Chart, is used to identify whether there is a relationship between two variables. It does not prove that one variable directly affects the other, but is highly effective in confirming that a relationship exists between the two. * Control (Run) Charts: They are reasonably complex statistical tools that measure how a process changes over time. By plotting this data against pre-defined upper and lower control limits, it can be determined whether the process is consistent and under control, or if it is unpredictable and therefore out of control. * Histograms: Histograms are a form of bar chart. They are used to measure the frequency distribution of data that is commonly grouped together in ranges or “bins”. Most commonly they are used to discern frequency of
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