Chapter 4: Q1OQ. (page 580)
Match the industry type to the expected benefits from an MRP system as High, Medium, or Low.

Short Answer
- High
- High
- Low
- Low
- High
- Medium
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Chapter 4: Q1OQ. (page 580)
Match the industry type to the expected benefits from an MRP system as High, Medium, or Low.

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Dunstreet’s Department Store would like to develop an inventory ordering policy with a 95 percent probability of not stocking out. To illustrate your recommended procedure, use as an example the ordering policy for white percale sheets. The demand for white percale sheets is 5,000 per year. The store is open 365 days per year. Every two weeks (14 days) inventory is counted and a new order is placed. It takes 10 days for the sheets to be delivered. The standard deviation of demand for the sheets is five per day. There are currently 150 sheets on hand. How many sheets should you order?
Following are the process flow sequences for three products: A, B, and C. There are two bottleneck operations—on the first leg, and the fourth leg—marked with an X. Boxes represent processes, which may be either machine or manual. Suggest the location of the drum, buffer, and ropes.

CU, Incorporated, (CUI) produces copper contacts that it uses in switches and relays. CUI needs to determine the order quantity, Q, to meet the annual demand at the lowest cost. The price of copper depends on the quantity ordered. Here are price-break and other data for the problem:
Price of copper | \(0.82 per pound up to 2,499 pounds \)0.81 per pound for orders between 2,500 and 5,000 pounds \(0.80 per pound for orders greater than 5,000 pounds |
Annual demand | 50,000 pounds per year |
Holding cost | 20 percent per unit per year of the price of the copper |
Ordering cost | \)30 |
Which quantity should be ordered?
Your manager is trying to determine what forecasting method to use. Based upon the following historical data, calculate the following forecast and specify what procedure you would utilize.
Month | Actual demand |
1 | 62 |
2 | 65 |
3 | 67 |
4 | 68 |
5 | 71 |
6 | 73 |
7 | 76 |
8 | 78 |
9 | 78 |
10 | 80 |
11 | 84 |
12 | 85 |
a. Calculate the simple three-month moving average forecast for periods 4–12.
b. Calculate the weighted three-month moving average using weights of 0.50, 0.30, and 0.20 for periods 4–12.
c. Calculate the single exponential smoothing forecast for periods 2–12 using an initial (F1) of 61 and anof 0.30.
d. Calculate the exponential smoothing with trend component forecast for periods 2– 12 using an initial trend forecast (T1) of 1.8, an initial exponential smoothing forecast (F1) of 60, and of 0.30 andof 0.30.
e. Calculate the mean absolute deviation (MAD) for the forecasts made by each technique in periods 4–12. Which forecasting method do you prefer?
Sally’s Silk Screening produces specialty T-shirts that are primarily sold at special events. She is trying to decide how many to produce for an upcoming event. During the event, Sally can sell T-shirts for \(20 apiece. However, when the event ends, any unsold T-shirts are sold for \)4 apiece. It costs Sally $8 to make a specialty T-shirt. Sally’s estimate of demand is the following:
Demand | Probability |
300 | .05 |
400 | .10 |
500 | .40 |
600 | .30 |
700 | .10 |
800 | .05 |
a. What is the service rate (or optimal fractile)?
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