A store manager looks at the following operational and sales forecasting data. The manager needs to decide
Question:
A store manager looks at the following operational and sales forecasting data. The manager needs to decide the quantity for each SKU to replenish to maximize the total expected profits.
Note that the manager must make the replenishment quantity decisions before observing which demand scenario actually occurs. For each SKU under each demand scenario, the store earns the sales revenue consisting of two parts:
1) the selling price multiplied by the sales volume; and 2) the salvage value multiplied by the leftover inventory (if any).
Further, the store pays the procurement costs which equal to purchase cost per unit multiplied by the purchase volume. Assume that the five demand scenarios have equal likelihood.
A) Help the manager build an Excel-based model to get the optimal replenishment quantities. [10 pts]
B) The upper-level management informs the store manager that no more than four SKUs can be replenished to control the fixed ordering costs. Help the manager build an Excel-based model to decide which SKUs to replenish and by how much. [10 pts]
SKU ID | Starting Inventory before replenishment | Demand Scenario I | Demand Scenario II | Demand Scenario III | Demand Scenario IV | Demand Scenario V | Selling Price | Salvage Value | Purchase Cost Per Unit |
1001 | 77 | 40 | 17 | 54 | 78 | 99 | $6 | $2 | $3 |
1002 | 1 | 75 | 11 | 99 | 53 | 13 | $10 | $4 | $5 |
1003 | 57 | 81 | 32 | 53 | 9 | 56 | $8 | $6 | $7 |
1004 | 33 | 41 | 97 | 47 | 62 | 11 | $5 | $2 | $3 |
1005 | 24 | 18 | 100 | 39 | 90 | 25 | $8 | $5 | $6 |
1006 | 24 | 79 | 69 | 58 | 59 | 3 | $4 | $2 | $3 |
1007 | 9 | 43 | 98 | 41 | 43 | 94 | $8 | $5 | $7 |
1008 | 19 | 22 | 60 | 92 | 26 | 52 | $4 | $2 | $3 |
1009 | 98 | 81 | 34 | 5 | 66 | 57 | $10 | $5 | $7 |
1010 | 43 | 53 | 98 | 54 | 80 | 19 | $4 | $2 | $3 |