*** This version of Confluence is for testing only and contains a copy of content from June 29th 2026. No changes will be preserved. ***
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| Time period | Chemistry: Average tickets per month | Chemistry: Average tickets per day | Physics: Average tickets per month | Physics: Average tickets per day | ||
|---|---|---|---|---|---|---|
| July 2017 (20 work days) | 87 | 4.85 | 10 | 0.50 | ||
| June 2017 (22 work days) | 100 | 4.54 | 17 | 0.77 | ||
| May 2017 (22 work days) | 92 | 4.2 | 13 | 0.59 | ||
| April 2017 (20 work days) | 100 | 5.0 | 15.0 | 0.75 | ||
| 8 months: 04/01/2016 to 01/01/2017 | 123 | 6.3 | 15.5 | 0.8 |
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| Resolved within 1 day | Resolved in more than 1 day | Total | Oliver's analysis: Avg. per month | Oliver's analysis: Percent of volume |
Kelly Brower | 1 | 3 | 4 | 0.20 | 40% |
| Lulu Zhu | 1 | 0 | 1 | 0.05 | 10% |
Michael E Hint | 1 | 4 | 5 | 0.25 | 40% |
Oliver B Habicht | 0 | 0 | 0 | - | - |
All others: | 0 | 0 | 0 | - | - |
Total | 3 | 7 | 10 | 0.50 |
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Tickets resolved in June 2017
- From Frank, 7/13/17
Assumptions for analysis portion
- Since JUST the month of June, simply counted the work days, taking into account staff holidays this month (none): 22 work days.
- See prior analysis if care to have numbers for average number of work days over several months.
Total flow summary: There is an average of over 5.32 tickets resolved by our group each workday, for both Chemistry and Physics.
- We had 117 resolved tickets this month for both Chemistry and Physics.
- At 22 workdays this month: 117 / 22 = ~5.32 resolved tickets per workday.
Chemistry, for this 1 month period:
Flow summary: 100 tickets per month averages to 4.54 tickets resolved per day.
| Resolved within 1 day | Resolved in more than 1 day | Total | Oliver's analysis: Avg. per month | Oliver's analysis: Percent of volume |
Lulu Zhu | 3 | 11 | 14 | 0.64 | 14.0% |
Michael E Hint | 37 | 24 | 61 | 2.77 | 61.0% |
Oliver B Habicht | 10 | 14 | 24 | 1.1 | 24.0% |
All others: | 0 | 1 | 1 | 0.04 | 1.0% |
Total | 50 | 50 | 100 | 4.35 |
Physics, for this 1 month period:
Flow summary: 17 tickets per month averages to about 0.77 tickets per day.
| Resolved within 1 day | Resolved in more than 1 day | Total | Oliver's analysis: Avg. per month | Oliver's analysis: Percent of volume |
Kelly Brower | 2 | 1 | 3 | 0.14 | 17.6% |
| Lulu Zhu | 1 | 0 | 1 | 0.04 | 0.06% |
Michael E Hint | 4 | 4 | 8 | 0.36 | 0.47% |
Oliver B Habicht | 0 | 5 | 5 | 0.23 | 0.07% |
All others: | 0 | 0 | 0 | - | - |
Total | 7 | 10 | 17 | 0.77 |
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Tickets resolved in May 2017
- From Frank, 6/2/17
Assumptions for analysis portion
- Since JUST the month of May, simply counted the work days, taking into account staff holidays this month (Mon. 5/29: Memorial Day): 22 work days.
- See prior work if care to have numbers for average number of work days over several months.
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Tickets resolved in April 2017
- From Frank, 5/2/17
Assumptions for analysis portion
- Since JUST the month of April, simply counted the work days, taking into account no staff holidays this month: 20 work days.
- See prior work if care to have numbers for average number of work days over several months.
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From Frank, 1/30/17, "Resolved Time Summary per Assignee: 04/01/2016 to 01/01/2017"
Assumptions for analysis portion
- In a year, 52 weeks * 5 workdays = 260 workdays/yr. Assume staff have 3 weeks vacation, and 2 weeks University Holidays, so 5 weeks * 5 days = 25 workdays. Thus 235 workdays per year (=260-25).
- 19.6 workdays per month (=235/12). This represents the available FTEs.
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