Drewtaylor1983
New Member
- Joined
- Oct 23, 2014
- Messages
- 2
All,
Hoping you can help, i'm working on a Volume / Price / Mix report, but can't quite get my head around the logic.
Ordinarily this would be fine to calculate but i'm in a situtation where there are non like for like products year on year. (think FMCG)
here is an example of a sample set of data that i need to work out the variances for, the price and mix part is the tricky bit, as the usual maths fails when you have 0 volume vs LY (or standard variance if you want to interpret last year as "budget" in a normal manufacturing environment)
Hoping someone has come accross this before and can help,
[TABLE="width: 520"]
<tbody>[TR]
[TD][/TD]
[TD="align: center"]LY[/TD]
[TD="align: center"][/TD]
[TD="align: center"][/TD]
[TD="align: center"][/TD]
[TD="align: center"]TY[/TD]
[TD="align: center"][/TD]
[TD="align: center"][/TD]
[/TR]
[TR]
[TD="align: center"][/TD]
[TD="align: center"]VOLUME[/TD]
[TD="align: center"]PRICE[/TD]
[TD="align: center"]SALES[/TD]
[TD="align: center"][/TD]
[TD="align: center"]VOLUME[/TD]
[TD="align: center"]PRICE[/TD]
[TD="align: center"]SALES[/TD]
[/TR]
[TR]
[TD="align: center"]Product A[/TD]
[TD="align: center"]10[/TD]
[TD="align: center"]1[/TD]
[TD="align: center"]10[/TD]
[TD="align: center"][/TD]
[TD="align: center"]8[/TD]
[TD="align: center"]1.05[/TD]
[TD="align: center"]8.4[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT B[/TD]
[TD="align: center"]15[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]16.5[/TD]
[TD="align: center"][/TD]
[TD="align: center"]13[/TD]
[TD="align: center"]1[/TD]
[TD="align: center"]13[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT C[/TD]
[TD="align: center"]20[/TD]
[TD="align: center"]0.9[/TD]
[TD="align: center"]18[/TD]
[TD="align: center"][/TD]
[TD="align: center"]27[/TD]
[TD="align: center"]1[/TD]
[TD="align: center"]27[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT D[/TD]
[TD="align: center"]15[/TD]
[TD="align: center"]0.5[/TD]
[TD="align: center"]7.5[/TD]
[TD="align: center"][/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT E[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"][/TD]
[TD="align: center"]25[/TD]
[TD="align: center"]0.75[/TD]
[TD="align: center"]18.75[/TD]
[/TR]
[TR]
[TD="align: center"][/TD]
[TD="align: center"]60[/TD]
[TD="align: center"]0.87[/TD]
[TD="align: center"]52[/TD]
[TD="align: center"][/TD]
[TD="align: center"]73[/TD]
[TD="align: center"]0.92[/TD]
[TD="align: center"]67.15[/TD]
[/TR]
</tbody><colgroup><col><col><col><col span="2"><col><col><col></colgroup>[/TABLE]
Hoping you can help, i'm working on a Volume / Price / Mix report, but can't quite get my head around the logic.
Ordinarily this would be fine to calculate but i'm in a situtation where there are non like for like products year on year. (think FMCG)
here is an example of a sample set of data that i need to work out the variances for, the price and mix part is the tricky bit, as the usual maths fails when you have 0 volume vs LY (or standard variance if you want to interpret last year as "budget" in a normal manufacturing environment)
Hoping someone has come accross this before and can help,
[TABLE="width: 520"]
<tbody>[TR]
[TD][/TD]
[TD="align: center"]LY[/TD]
[TD="align: center"][/TD]
[TD="align: center"][/TD]
[TD="align: center"][/TD]
[TD="align: center"]TY[/TD]
[TD="align: center"][/TD]
[TD="align: center"][/TD]
[/TR]
[TR]
[TD="align: center"][/TD]
[TD="align: center"]VOLUME[/TD]
[TD="align: center"]PRICE[/TD]
[TD="align: center"]SALES[/TD]
[TD="align: center"][/TD]
[TD="align: center"]VOLUME[/TD]
[TD="align: center"]PRICE[/TD]
[TD="align: center"]SALES[/TD]
[/TR]
[TR]
[TD="align: center"]Product A[/TD]
[TD="align: center"]10[/TD]
[TD="align: center"]1[/TD]
[TD="align: center"]10[/TD]
[TD="align: center"][/TD]
[TD="align: center"]8[/TD]
[TD="align: center"]1.05[/TD]
[TD="align: center"]8.4[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT B[/TD]
[TD="align: center"]15[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]16.5[/TD]
[TD="align: center"][/TD]
[TD="align: center"]13[/TD]
[TD="align: center"]1[/TD]
[TD="align: center"]13[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT C[/TD]
[TD="align: center"]20[/TD]
[TD="align: center"]0.9[/TD]
[TD="align: center"]18[/TD]
[TD="align: center"][/TD]
[TD="align: center"]27[/TD]
[TD="align: center"]1[/TD]
[TD="align: center"]27[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT D[/TD]
[TD="align: center"]15[/TD]
[TD="align: center"]0.5[/TD]
[TD="align: center"]7.5[/TD]
[TD="align: center"][/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[/TR]
[TR]
[TD="align: center"]PRODUCT E[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"]0[/TD]
[TD="align: center"][/TD]
[TD="align: center"]25[/TD]
[TD="align: center"]0.75[/TD]
[TD="align: center"]18.75[/TD]
[/TR]
[TR]
[TD="align: center"][/TD]
[TD="align: center"]60[/TD]
[TD="align: center"]0.87[/TD]
[TD="align: center"]52[/TD]
[TD="align: center"][/TD]
[TD="align: center"]73[/TD]
[TD="align: center"]0.92[/TD]
[TD="align: center"]67.15[/TD]
[/TR]
</tbody><colgroup><col><col><col><col span="2"><col><col><col></colgroup>[/TABLE]