Question: Linear programming and the transportation method promise optimal solutions however, wise managers sometimes, after seeing the optimal results such as in Figures might decide to

Linear programming and the transportation method promise optimal solutions however, wise managers sometimes, after seeing the optimal results such as in Figures might decide to implement different plans. How do you explain such decisionmaking?

X1 X2 RHS | Shadow Price 40 6 Maximize 34 Extrusion Packaging Additive Solution.> 48 18 16 342 aj input Data Phoenix Atdanta DEMAND San AntonioHot Springs Sioux Falls 5.4 6.6 SUPPLY 400 4.6 400 200 (b) Optimal Shipping Patterm Optimal cost- 4580 Pheenix Atlanta San Anton Hot Springs Sioux Falls 200 400 100 ic) Cuest Breakdown San Antonio Hot Springs Phoenix Atianta Sioux Falls 200 $1080 400$1840100660 200/$1000 1840 100/$660 Optimal cost- $4,010 Excess Capacity Capacity Quarter 1 Quarter 2Quarter 3 Quarter 4 Init Inventory Quarter 1 RegTime Quarter 1 Overtime Quarter 1 Subcontract Quarter 2 RegTime Quarter 2 Overtime Quarter 2 Subcontract Quarter 3 RegTime Quarter 3 Overtime Quarter 3 Subcontract 230 50 250 450 20 400 20 180 450 750 750 150 450 Quarter 4 RegTime Quarter 4 Overtime Quarter 4 Subcontract Demand 450 90 110 650 300 850 1500 270

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