The Warren W. Fisher Computer Corporation purchases 8,000
transistors each year as components in minicomputers. The unit cost
of each transistor is $10, and the cost of carrying one transistor
in inventory for a year is $3. Ordering cost is $30 per order.
Assume that Fisher operates on a 200-day working year.
(a) What is the optimal order quantity
(b) The expected number of orders placed each year
(c) The expected time between orders?
Given values:
Annual demand (D) = 8,000 transistors
Unit cost of each transistor = $10
Cost of carrying (Cc) = $3
Ordering cost (Co) = $30 per order
Number of working days = 200 days
(a) Optimal Order Quantity (Q):
Q = SQRT [(2 x D x Co) / Cc]
Q = SQRT [(2 x 8,000 x $30) / $3]
Q = 400
Optimal Order Quantity = 400 transistors
(b) Number of Orders:
Number of orders = Annual demand / Optimal order quantity
Number of orders = 8,000 / 400
Number of orders = 20
(c) Expected time between orders:
Expected time between orders = Number of working days / Number of orders
Expected time between orders = 200 / 20
Expected time between orders = 10 days
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