Re: Time cards and sampling theorems


Richard Owlett wrote:
I know I've seen this discussed.
But I do not know what it's called so I can not Google.

When we clockin the payroll computer gets a time of "hour" + 0|15|30|45
[ie quantized in 15 minute increments]

For a class of employees [including yours truly] there is no other
restriction of clockin/clockout times. For the purpose of this question
it is *explicitly assumed* that all clockin/clockout times have a random
distribution.

There is a simple set of changes that would reduce the actual average
workday of a class of employees by 6 to 10 minutes per day {7 days/week
& 52 wks/yr} [ upto at least an hour per week for a SPECIFIC job
classification]

I understand management well enough to expect them to dismiss this as
average savings per day is less than quantizing error of timeclock.

How do I demonstrate otherwise?
What term should I be searching for?
Is any thing aimed at non-tech reader?

Thank you.

[PS comp.dsp has taught me at least one thing ;]
I state more explicit thank you's
you teach old dogs *WOOF WOOF* ;/

if the times are random then the quantizing error is + and - and will
average (integrate) towards zero over the year.

on the other hand, the real work day reduction will be - every day and
will integrate to a larger and larger reduction over the year.

i.e. a +/- 6 minute per day quantizing error will vary around zero but
will not grow and over a year will be some number say 10 minutes for
example...

the 6 minute work day reduction will accumulate to 1500 minutes over
250 days.

The 1500 minute reduction will clearly be measureable despite the
quantizing...

demonstrate this to mangment using a spread *** where you add a
random error and the real reduction and graph the results...

Mark

.

Quantcast