aggregate planning transportation (production) problem in ms excel
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Period Actual De Forecasts
1 39773 39773
2 36289 36985.8
3 55588 51867.56
4 45891 47086.31
5 55056 53462.06
6 32974 37071.61
7 57803 53656.72
8 33792 37764.94
9 63321
0
10000
20000
30000
40000
50000
60000
70000
0 1 2 3 4 5 6 7
Actual Vs. Predicted vs. Movi
Actual Demand Forecasts
2 per. Mov. Avg. (Actual Demand ) 2 per. Mov. Avg. (For
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Period 1 2 3 4 5 6 7 8 Slack Supply
D1 D2 D3 D4 D5 D6 D7 D8 Dummy y
S1 R1 39773 1827 0 0 0 0 0 0 0 41600 #### ####
S2 O1 0 0 0 0 0 0 0 0 20800 0 #### ####
S3 R2 0 35159 6441 0 0 0 0 0 0 41600 #### ####
S4 O2 0 0 0 0 0 0 0 0 20800 0 #### ####
S5 R3 0 0 41600 0 0 0 0 0 0 41600 #### ####
S6 O3 0 0 3826 0 0 0 0 0 16974 3826 #### ####
S7 R4 0 0 0 41600 0 0 0 0 0 41600 #### ####
S8 O4 0 0 0 5486 0 0 0 0 15314 5486 #### ####
S9 R5 0 0 0 0 41600 0 0 0 0 41600 #### ####
S10 O5 0 0 0 0 11862 0 0 0 8938 11862 #### ####
S11 R6 0 0 0 0 0 37072 4528 0 0 41600 #### ####
S12 O6 0 0 0 0 0 0 0 0 20800 0 #### ####
S13 R7 0 0 0 0 0 0 41600 0 0 41600 #### ####
S14 O7 0 0 0 0 0 0 7528 0 13272 7528 #### ####S15 R8 0 0 0 0 0 0 0 16965 24635 16965 #### ####
S16 O8 0 0 0 0 0 0 0 20800 0 20800 #### ####
DD 39773 36986 51868 47086 53462 37072 53657 37765
39773 36986 51868 47086 53462 37072 53657 37765
Total Product 2E+06
Inventory&S 3199
Total Cost 2E+06
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Deriving new parameters or decision variables if you need.
Mi = Regular time production (Maximum) during period i
Yi = Overtime production (Maximum) during period i
Di = Demand during period i
Ii = Inventory at the end of period i, Pi =Pre-order
r = Regular time cost of production, per unit
v = Over time cost of production, per unit
h = Cost of carrying the inventory per unit per period.
Min TC =
s.t
The Excel sheet with solver notes is attached.
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