In aggregate planning models, we can model backlogging of demand by allowing a month's inventory to be negative. a. True b. False . Suppose the allowable increase and decrease for an objective coefficient of a decision variable that has a current value of $50 are $25 (increase) and $10 (decrease). If the coefficient were to change from $50 to $65, the optimal value of the objective function would not change. a. True b. False Shadow prices are associated with binding constraints and show the change in the optimal objective function value when the right side of the constraint equation changes by one unit.
In aggregate planning models, we can model backlogging of demand by allowing a month's inventory to be negative.
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a. |
True |
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b. |
False |
. Suppose the allowable increase and decrease for an objective coefficient of a decision variable that has a current value of $50 are $25 (increase) and $10 (decrease). If the coefficient were to change from $50 to $65, the optimal value of the objective function would not change.
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a. |
True |
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b. |
False |
Shadow prices are associated with binding constraints and show the change in the optimal objective function value when the right side of the constraint equation changes by one unit.
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a. |
True |
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b. |
False |
In a general logistics model that minimizes the cost of network flow, the flow balance constraint for each supply node has the form
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a. |
Flow in ≥ Flow out + Net supply |
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b. |
Flow out ≥ Flow in + Net demand |
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c. |
Flow in = Flow out |
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d. |
Flow out ≤ Flow in + Net supply |
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e. |
Flow in ≤ Flow out + Net demand |
One of the advantages of spreadsheet models is that they allow managers to ask what-if questions.
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a. |
True |
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b. |
False |
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