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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 xx 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

2.7761.0%

Oliver B Habicht

10

14

24

1.124.0%

All others:

0

1

1

0.041.0%

Total

50

50

100

4.35 

Physics, for this 1 month period:

Flow summary: 10 tickets per month averages to about 0.50 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

1

3

4

0.2040%
Lulu Zhu1010.0510%

Michael E Hint

1

4

5

0.2540%

Oliver B Habicht

0

0

0

--

All others:

0

0

0

--

Total

3

7

10

0.50 

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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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