In: Operations Management
1)
Annual sales (=demand), D = 4000 sets
Order cost, S = $ 25
Holding cost, H = $ 5
Current order quantity, Q = D/2 = 4000/2 = 2000 sets
Optimal order quantity, EOQ = sqrt(2DS/H)
= sqrt(2*4000*25/5)
= 200 sets
Annual holding cost of current policy = H*Q/2
= 5*2000/2
= $ 5000
Annual holding cost of optimal policy = H*EOQ/2
= 5*200/2
= $ 500
Difference in holding costs = 5000 - 500
= $ 4,500
2) A distribution center operates for a major electronics company that fulfills orders that customers make from the website. (15 pts.)
Estimated annual demand: 16,936 laptops (50 weeks per year)
Cost: $840 per laptop
Lead Time: 5 weeks
Standard deviation of weekly demand: laptops
Standard deviation of lead time: 0.9 weeks
Holding cost per unit per year: 60% of item cost
Ordering cost: $37 per order
Desired service level: 98% (z=2.05)
***Calculate the reorder point and the safety stock? Note that you need to convert the annual demand to weekly demand based on 50 wks/yr.
A= annual demand = 16,936 units per year
Weeks per year = 50 weeks
d = mean weekly demand = 16936/50 = 338.72 units per week
σd = standard deviation of weekly demand = “Y” laptop per week (the value is not provided in question, but I am assuming it as Y units of laptop)
L = mean lead time = 5 weeks
σL = standard deviation of lead time = 0.9 weeks
Service level = 98%
For the service level of 98%, the z-score is 2.05
The reorder level for variation in demand and lead time is given as follows:
Reorder Level = Demand during lead time + Safety stock
Reorder Level = dL + SS
The Safety stock is given as follows:
SS = z√(Lσd2 + dσL2)
SS = 2.05 x √[(5)(y)2 + (338.72)(0.9)2]
SS = 2.05 x √[(5)(y)2 +274.3632]
Safety Stock = 2.05 x √[(5)(y)2 +274.3632] units
Reorder Level = dL + SS = (338.72)(5) + 2.05 x √[(5)(y)2 +274.3632]
Reorder Level = 1693.6 + 2.05 x √[(5)(y)2 +274.3632]
(substitute the actual value of σd = y in above formula)