Even distribution of work contents with different frequencies

ccyilmaz

New Member
Joined
Dec 4, 2016
Messages
2
Hello everyone,

Since I'm struggling with an excel problem for long i decided to ask pro's about their opinions and suggestions. Any help is highly appreciated.

I try to organize frequent tasks so that each week gets similar share of the whole bunch. The year is divided in 52 weeks and there are in total 80 tasks with their own frequencies to be carried out. For instance a certain control needs to be done 8 times a year in equal intervals. The frequencies differ from every week to once a year. They also have their own durations variing from 0,5 hour to 8 hours. The model i try to build will be optimizing the personnel capacity need each week. The deviation of total duration for each week should not be big from each other.

What i did is:

I created a matrix with weeks in columns and tasks in rows. After the 52. week i added a column which returns the total necessary time for each task for the whole year by multiplying the frequency with the single duration. By using solver i tried to minimize the standard deviation of the sum of each weeks total duration of tasks. However i couldn't manage to make an optimization that way.

Anybody having a clue how i can make the optimization?
 

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What do {} around a formula in the formula bar mean?
{Formula} means the formula was entered using Ctrl+Shift+Enter signifying an old-style array formula.
a once a year task MIGHT be carried out in december and then january but that would be silly. Are the task durations really important since a year is 8760 hours. Do you work say 8 to 6 or 24 hours per day. I would tend to sort out the tasks that consume the biggest hours first...
 
Upvote 0
TASKFREQHOURSfreq*hoursTASKFREQHOURSfreq*hoursevery12345678
T14416T1885404611/02/201628/03/201613/05/201628/06/201613/08/201628/09/201613/11/201629/12/2016
T26636T266366126/02/201627/04/201627/06/201627/08/201627/10/201627/12/2016
T33721T484324611/02/201628/03/201613/05/201628/06/201613/08/201628/09/201613/11/201629/12/2016
T48432T1247289127/03/201626/06/201625/09/201625/12/2016
T54624T546249127/03/201626/06/201625/09/201625/12/2016
T6236T3372112227/04/201627/08/201627/12/2016
T7188T845209127/03/201626/06/201625/09/201625/12/2016
T84520T1545209127/03/201626/06/201625/09/201625/12/2016
T9616T10361812227/04/201627/08/201627/12/2016
T103618T144169127/03/201626/06/201625/09/201625/12/2016
T11818T17341212227/04/201627/08/201627/12/2016
T124728T202612183227/06/201627/12/2016
T13224T7188365126/12/2016
T14166T118184611/02/201628/03/201613/05/201628/06/201613/08/201628/09/201613/11/201629/12/2016
T154520T194289127/03/201626/06/201625/09/201625/12/2016
T16616T6236183227/06/201627/12/2016
T173412T96166126/02/201627/04/201627/06/201627/08/201627/10/201627/12/2016
T188540T14166365126/12/2016
T19428T166166126/02/201627/04/201627/06/201627/08/201627/10/201627/12/2016
T202612T13224183227/06/201627/12/2016
01/01/2016
easy to set up something like this plot on a scatter chart and tinker with it….
eg the 1 2 and 3 frequencies can fill gaps after setting the bigger ones
second table to the right is clearly first table sorted

<tbody>
</tbody>
 
Last edited:
Upvote 0
Dear oldbrewer,

thanks for the suggestion. In this solution i am not sure if i get the same work load for each week.

I prepared following excel table showing a full matrix of tasks distributed throughout the whole year. My problem here is that the work load for each week is so much variing that in some weeks i have not enough manpower to complete them and in some weeks i need only 0,5 hour manpower capacity. The solution i seek should be arranging the tasks so that i get (in best case 1003 hours / 52 weeks = 19,3 hours) a not so much variing manpower need btw. the weeks.


weeks
TASKHow many times annually a task should be done?Duration of each taskTotal time needed annually to complete the task12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152
1132431224,0 24,0 24,0 24,0 24,0 24,0 24,0 24,0 24,0 24,0 24,0 24,0 24,0
228016080,0 80,0
378568,0 8,0 8,0 8,0 8,0 8,0 8,0
4262522,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0
5262522,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0 2,0
6134524,0 4,0 4,0 4,0 4,0 4,0 4,0 4,0 4,0 4,0 4,0 4,0 4,0
7520,5260,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,5
838248,0 8,0 8,0
92102010,0 10,0
10131,5201,5 1,5 1,5 1,5 1,5 1,5 1,5 1,5 1,5 1,5 1,5 1,5 1,5
1128168,0 8,0
1244164,0 4,0 4,0 4,0
1344164,0 4,0 4,0 4,0
141161616,0
1528168,0 8,0
1672142,0 2,0 2,0 2,0 2,0 2,0 2,0
17131131,0 1,0 1,0 1,0 1,0 1,0 1,0 1,0 1,0 1,0 1,0 1,0 1,0
1842,5102,5 2,5 2,5 2,5
194282,0 2,0 2,0 2,0
202484,0 4,0
212484,0 4,0
221888,0
237171,0 1,0 1,0 1,0 1,0 1,0 1,0
247171,0 1,0 1,0 1,0 1,0 1,0 1,0
257171,0 1,0 1,0 1,0 1,0 1,0 1,0
267171,0 1,0 1,0 1,0 1,0 1,0 1,0
27130,570,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5
28130,570,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5
29130,570,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5 0,5
302363,0 3,0
3122,552,5 2,5
3222,552,5 2,5
334141,0 1,0 1,0 1,0
3470,540,5 0,5 0,5 0,5 0,5 0,5 0,5
352121,0 1,0
3640,520,5 0,5 0,5 0,5
3740,520,5 0,5 0,5 0,5
3830,520,5
3920,510,5 0,5 0,5
401111,0
1003
Weekly needed man hours2231513715151151371551519513715151114213715151159371515511513715151151

<tbody>
</tbody><colgroup><col><col><col><col><col span="52"></colgroup>
 
Upvote 0

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