thelwellj6
New Member
- Joined
- May 16, 2018
- Messages
- 1
I am working on a problem that I just can't solve. It may be that I can solve with good old IFs but I want to see if Goal Seek or Solver would work better.
Basically, I have 2 tables. One table has John, Peter and Mark repairing bicycles. Bicycle A totals up to 34, B total is 120, C total is 119, D total is 78.
Table 2 has the same people repairing motorbikes. Type A total is 58, B is 120, C is 121 and D is 80.
The total overall productivity for Type A (across bicycles and motorbikes) is John = 12, Peter = 43, Mark = 37. Product B has John = 65, Peter = 150, Mark = 25. Product C has John = 156, Peter = 75 and Mark = 9 and Product D has John = 87, Peter = 44, Mark = 27.
My question is, how many bicycles and motorbikes (broken down by each product category A to D) would each of them make?
I hope this makes sense and I would appreciate your help. I have also posted a table below if this helps. Thanks so much in advance.
[TABLE="width: 727"]
<colgroup><col style="text-align: center;"><col span="5" style="text-align: center;"><col style="text-align: center;"><col span="4" style="text-align: center;"></colgroup><tbody>[TR]
[TD="colspan: 4, align: center"]%age of Repairs[/TD]
[TD][/TD]
[TD="colspan: 4, align: center"]Total of Bicycles & Motorbike Repairs[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD] [/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[TD][/TD]
[TD] [/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product A[/TD]
[TD]4%[/TD]
[TD]14%[/TD]
[TD]38%[/TD]
[TD][/TD]
[TD]Product A[/TD]
[TD]12[/TD]
[TD]43[/TD]
[TD]37[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product B[/TD]
[TD]20%[/TD]
[TD]48%[/TD]
[TD]26%[/TD]
[TD][/TD]
[TD]Product B[/TD]
[TD]65[/TD]
[TD]150[/TD]
[TD]25[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product C[/TD]
[TD]49%[/TD]
[TD]24%[/TD]
[TD]9%[/TD]
[TD][/TD]
[TD]Product C[/TD]
[TD]156[/TD]
[TD]75[/TD]
[TD]9[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product D[/TD]
[TD]27%[/TD]
[TD]14%[/TD]
[TD]28%[/TD]
[TD][/TD]
[TD]Product D[/TD]
[TD]87[/TD]
[TD]44[/TD]
[TD]27[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Bicycles[/TD]
[TD]Total[/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[TD][/TD]
[TD]Motorbikes[/TD]
[TD]Total[/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[/TR]
[TR]
[TD]Product A[/TD]
[TD]34[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product A[/TD]
[TD]58[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]Product B[/TD]
[TD]120[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product B[/TD]
[TD]120[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]Product C[/TD]
[TD]119[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product C[/TD]
[TD]121[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]Product D[/TD]
[TD]78[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product D[/TD]
[TD]80[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
</tbody>[/TABLE]
Basically, I have 2 tables. One table has John, Peter and Mark repairing bicycles. Bicycle A totals up to 34, B total is 120, C total is 119, D total is 78.
Table 2 has the same people repairing motorbikes. Type A total is 58, B is 120, C is 121 and D is 80.
The total overall productivity for Type A (across bicycles and motorbikes) is John = 12, Peter = 43, Mark = 37. Product B has John = 65, Peter = 150, Mark = 25. Product C has John = 156, Peter = 75 and Mark = 9 and Product D has John = 87, Peter = 44, Mark = 27.
My question is, how many bicycles and motorbikes (broken down by each product category A to D) would each of them make?
I hope this makes sense and I would appreciate your help. I have also posted a table below if this helps. Thanks so much in advance.
[TABLE="width: 727"]
<colgroup><col style="text-align: center;"><col span="5" style="text-align: center;"><col style="text-align: center;"><col span="4" style="text-align: center;"></colgroup><tbody>[TR]
[TD="colspan: 4, align: center"]%age of Repairs[/TD]
[TD][/TD]
[TD="colspan: 4, align: center"]Total of Bicycles & Motorbike Repairs[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD] [/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[TD][/TD]
[TD] [/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product A[/TD]
[TD]4%[/TD]
[TD]14%[/TD]
[TD]38%[/TD]
[TD][/TD]
[TD]Product A[/TD]
[TD]12[/TD]
[TD]43[/TD]
[TD]37[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product B[/TD]
[TD]20%[/TD]
[TD]48%[/TD]
[TD]26%[/TD]
[TD][/TD]
[TD]Product B[/TD]
[TD]65[/TD]
[TD]150[/TD]
[TD]25[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product C[/TD]
[TD]49%[/TD]
[TD]24%[/TD]
[TD]9%[/TD]
[TD][/TD]
[TD]Product C[/TD]
[TD]156[/TD]
[TD]75[/TD]
[TD]9[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Product D[/TD]
[TD]27%[/TD]
[TD]14%[/TD]
[TD]28%[/TD]
[TD][/TD]
[TD]Product D[/TD]
[TD]87[/TD]
[TD]44[/TD]
[TD]27[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Bicycles[/TD]
[TD]Total[/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[TD][/TD]
[TD]Motorbikes[/TD]
[TD]Total[/TD]
[TD]John[/TD]
[TD]Peter[/TD]
[TD]Mark[/TD]
[/TR]
[TR]
[TD]Product A[/TD]
[TD]34[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product A[/TD]
[TD]58[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]Product B[/TD]
[TD]120[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product B[/TD]
[TD]120[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]Product C[/TD]
[TD]119[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product C[/TD]
[TD]121[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]Product D[/TD]
[TD]78[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD][/TD]
[TD]Product D[/TD]
[TD]80[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[/TR]
</tbody>[/TABLE]