Operations Management (McGraw-Hill Series in Operations and Decision Sciences)
Operations Management (McGraw-Hill Series in Operations and Decision Sciences)
12th Edition
ISBN: 9780078024108
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 11, Problem 21P

Prepare a master schedule like that shown in Figure 11.11 given this information: The forecast for each week of an eight-week schedule is 50 units. The MPS rule is to schedule production if the projected on-hand inventory would be negative without it. Customer orders (committed) are as follows.

Chapter 11, Problem 21P, Prepare a master schedule like that shown in Figure 11.11 given this information: The forecast for

Use a production lot size of 75 units and no beginning inventory.

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Prepare a master schedule given this information: The forecast for each week of an eight-week schedule is 60 units. The MPS rule is to schedule production if the projected on-hand Inventory would be negative without it. Customer orders (committed) are as follows: Week 1 2 3 Customer Orders 54 38 25 20 Use a production lot size of 73 units and no beginning inventory. (In the ATP row, enter a value of 0 (zero) In any perlods where ATP should not be calculated. Leave no cells blank - be certain to enter "0" wherever required.) June July MPS ATP Forecast Customer Orders Projected On-Hand Inventory 60 54 2 60 38 3 60 25 4 60 20 5 60 0 6 60 0 7 60 0 8 60 0
please answer within 30 minutes.
Prepare a master schedule based on the following information:                          Week   1   2   3   4   5   6   7   8   Forecast   500   500   600   600   750   750   900   800   Orders   540   470   325   200   105   45   10   0         Currently there are 700 units in inventory. Policy calls for a fixed order quantity of 1250 units.   Can you receive another order for 250 items in week 1? Why?     How many orders can be received in each period without altering the plan.   If there are 1250 items in stock, what would be the answer of questions 2 and 3?

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Operations Management (McGraw-Hill Series in Operations and Decision Sciences)

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