You work for a consulting firm and have been assigned to work for Sers, which sells big screen TV’s. Since more TV’s are sold on weekends, Sers is closed on Monday and Tuesday of every week. For plasma TV’s the average demand during a week is as follows:

0 TVs demanded 10% of the time

1 TVs demanded 20% of the time

2 TVs demanded 40% of the time

3 TVs demanded 25% of the time

4 TVs demanded 5% of the time

The contract with the supplier states that they can only order on Monday morning and that the TV’s will arrive by Wednesday morning. You have a maximum ability to store

12 TVs in your store.Every TV sells for $2,000. The order cost is $700 per TV, plus a $500 fixed orderingcost. Each TV held in inventory costs $50 per week. If a customer comes in and you don’t have a TV in stock, then the TV is specially ordered and delivered to their house for$1,500. In addition,you estimate a penalty of $300 due to the likelihood of the customer not returning.

Sers currently has a QR inventory policy (quantityeorder) (Also known as a S,sinvntory policy) with Q=12 and R=7. As long as the inventory at the end of the day is R or more, then no order is placed. If the inventory is strictly less than R, then an order isplaced so that the store opens with Q items (i.e. Sers will open on Wednesday with 12TV’s on hand.) Sers has asked your company to evaluate this policy and determine optimal values for Q and R.

As a simplification of the model, Sers has agreed that the demand from week to week is constant and that the demand from week to week is memoryless. The memoryless property would be that a high/low demand this week does not change the demand for the following week.