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PROJECT PORTFOLIO
Casper Crause
DASHBOARD THAT COMPARES THE
PRODUCTIVITY OF DAY AND NIGHT
SHIFTS
This is an example of a dashboard that I've
created using pivot charts in Excel that
compares the productivity of day and night
shift in an apple packing facility. It updates
hourly by querying the data from an external
connection. It splits the shifts using a nested
if - statement that combines AND as well as
OR operators to allocate the transaction time
to either day or night. This dashboard
comprises of three elements:
1. 1. The different varieties packed( pie
chart)
2. 2. The performance of three individual
pack lines (bottom).
3. 3. The combined output of the three
pack lines (top right)
ANALYZING HOW THE INTRODUCTION OF A
NEWLY APPOINTED MANAGER AFFECTED
PRODUCTIVITY IN AN APPLE-PACKING FACILITY
Appointing the right people in the right positions is crucial for remaining a step ahead of the
competition! These histograms compare the production results in terms of the amount of bins
tipped (a standard bin weighs 365 kg) . It compares the company's productivity 6 months
before the addition of a line manager and the first 6 months after the manager was hired. The
manager was responsible for maximizing output.
ANOVA RESULTS - ARE
MANAGERS REALLY MAKING A
DIFFERENCE OR DID THEY JUST
GET LUCKY?
It seems as if the introduction of a manager yielded great
results. The company had three hypotheses they wanted to
inspect:
1. Does it matter if we appoint a pack line manager or can we
get by without one?
2. Is there a relationship between the average output and
time?
3. The interaction between these two variables - are the
results achieved over time dependent on whether or not we
employ a manager responsible for maximizing output ?
The results tell us that the output we achieve over time depends
on how good the manager appointed is. The results were
conducted over six months. Without a manager appointed the
mean output for the six-month-period was 221 bins with a
margin of error of +/- 4 bins and the mean output achieved with
a manager appointed over the same period was 263 bins with a
margin of error of +/- 6 bins
The bottom 25 % of output increased by 36 bins per shift (21 %).
The median output increased by 49 bins per shift (21%). The top
25% increased by 61 bins per shift(25%).

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Project portfolio for Casper Crause

  • 2. DASHBOARD THAT COMPARES THE PRODUCTIVITY OF DAY AND NIGHT SHIFTS This is an example of a dashboard that I've created using pivot charts in Excel that compares the productivity of day and night shift in an apple packing facility. It updates hourly by querying the data from an external connection. It splits the shifts using a nested if - statement that combines AND as well as OR operators to allocate the transaction time to either day or night. This dashboard comprises of three elements: 1. 1. The different varieties packed( pie chart) 2. 2. The performance of three individual pack lines (bottom). 3. 3. The combined output of the three pack lines (top right)
  • 3. ANALYZING HOW THE INTRODUCTION OF A NEWLY APPOINTED MANAGER AFFECTED PRODUCTIVITY IN AN APPLE-PACKING FACILITY Appointing the right people in the right positions is crucial for remaining a step ahead of the competition! These histograms compare the production results in terms of the amount of bins tipped (a standard bin weighs 365 kg) . It compares the company's productivity 6 months before the addition of a line manager and the first 6 months after the manager was hired. The manager was responsible for maximizing output.
  • 4. ANOVA RESULTS - ARE MANAGERS REALLY MAKING A DIFFERENCE OR DID THEY JUST GET LUCKY? It seems as if the introduction of a manager yielded great results. The company had three hypotheses they wanted to inspect: 1. Does it matter if we appoint a pack line manager or can we get by without one? 2. Is there a relationship between the average output and time? 3. The interaction between these two variables - are the results achieved over time dependent on whether or not we employ a manager responsible for maximizing output ? The results tell us that the output we achieve over time depends on how good the manager appointed is. The results were conducted over six months. Without a manager appointed the mean output for the six-month-period was 221 bins with a margin of error of +/- 4 bins and the mean output achieved with a manager appointed over the same period was 263 bins with a margin of error of +/- 6 bins The bottom 25 % of output increased by 36 bins per shift (21 %). The median output increased by 49 bins per shift (21%). The top 25% increased by 61 bins per shift(25%).