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The quantity (RHS Value) - (Final Value) of a constraint will give you: Devon's Baked Goods would like to maximize its profit from the production
The quantity "(RHS Value) - (Final Value)" of a constraint will give you: Devon's Baked Goods would like to maximize its profit from the production of its cookies. Devon produces two types of cookies, Chocolate Chip and Vanilla Sprinkle. Each production line at Devon's has three employees and one oven working an 8-hour shift. Tori, the Operations Manager, has developed the linear program shown below to maximize the profit. Chocolate Chip Vanilla Sprinkle Solution 80 240 LHS Profit / Cupcake $0.50 $0.40 $xxx.xx Sign RHS Oven Hours 0.04 0.02 8 8 Labor Hours 0.06 0.08 24 24 Variable Cells Cell Name Final Value Reduced Cost Objective Coefficient Allowable Increase Allowable Decrease $B$4 Optimal Solution Chocolate Chip 80 0 0.5 0.3 0.2 $C$4 Optimal Solution Vanilla Sprinkle 240 0 0.4 0.266666667 0.15 Constraints Cell Name Final Value Shadow Price Constraint R.H. Side Allowable Increase Allowable Decrease $D$7 Oven Hours LHS 8 8 8 8 2 $D$8 Labor Hours LHS 24 3 24 8 12 The quantity "(RHS Value) - (Final Value)" of a constraint will give you: Reduced Cost Shadow Price Slack or surplus The feasibility of the model
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