Hw 4 - Hw 4 #1 a) Product Structure Tree b) Item 1001:...

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Hw 4 #1 a) Product Structure Tree b) Item 1001: Rubber hosing (2wk) 3 4 5 6 7 8 Gross Requirement 70000 147500 95000 190000 Scheduled receipts 80,000 On Hand: 40,000 120,000 50,000 -97,500 -192,500 -192,500 -382,500 Net requirements 0 0 97,500 95000 0 190000 Planned order releases 97,500 95,000 0 190,000 0 0 c) Item 2002: rubber washers (1wk) 3 4 5 6 7 8 Gross Requirement 2400 3200 3200 5200 Scheduled receipts 5000 On Hand: 5000 2600 4400 1200 1200 -4000 Net requirements 0 0 0 0 4000 Planned order releases Item 2002: rubber washers (1wk) 3 4 5 6 7 8 Gross Requirement 2400 3200 3200 5200 Scheduled receipts 5000 5000 On Hand: 5000 2600 4400 1200 1200 1000 Net requirements 0 0 0 0 0 Planned order releases 5000 #2
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a) Da 108,000 d 300 p 500 S $2,400 H 4 Q* = √ [2DaS]/[H(1-d/p)] 18000 Length of production run they make 500/day = 18000/500 36 days =360/36 10 cycles/year max cycle time = production phase + drawdown phase 60 cycle time drawdown = Imax/d 24 draw down I max = Q*(1-d/p)+SS 7200 I max average inventory = [Q(1-d/p)]/2 +ss 3600 Max value of inventory = max inv * price 288000 Average value of inventory = avg inv * price 144000 Annual setup costs = # of setups * 2400 14400 # of setups = Da/ Q* 6 Annual holding costs = avg inventory q * H 14400
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#3 a) D bar = 20 Sd = 6 Q* = 80 Cu = 140 H = 100 Since average demand is 20 workstation and the standard deviation is 6. Sales usually fall
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This note was uploaded on 04/11/2009 for the course ARE 157 taught by Professor Whitney during the Fall '08 term at UC Davis.

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Hw 4 - Hw 4 #1 a) Product Structure Tree b) Item 1001:...

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