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Operations Research (OR) refers to the science of decision making. This course elaborate like linear, nonlinear and discrete optimization. This lecture handout was provided by Sir Avikshit Gupte. It includes: Demand, Comapny, Formula, Service, Level, Satisfies, Manufacturer, Carrier, Component, Normally, Example
Typology: Lecture notes
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(Note: If the lead time is given as a continuous time distribution take the mid point.)
Example: Demand for a product during an order period is assumed to be normally distributed with mean of 1000 units and standard deviation of 40 units. What % service can a company expect to provide (i) if it satisfies the average demand only (ii) if it carries a safety stock of 60 units.
Solution:
Z = (Safety stock - 0)/ Standard deviation
The area under normal curve for Z = 1.5 is 0.4332.
Service level = 0.50 + 0.4332 = 0.9332 04 93.32% Example: A manufacturer of water filters purchases components in EOQ's of 850 units/order. Total demand averages 12000 components per year and MAD = 32 units per month. If the manufacturer carries a safety stock of 80 units, what service level does the this give the firm?
Solution:
Standard deviation^2 MAD MAD / 0.8 32 / 0.8 40
The area under normal curve for Z = 2 = 0.4772.
Service level = 0.9772 or 97.72%
Example: A firm has normally distributed forecast of usage with MAD = 60 units. It desires a service level, which limits the stock, outs to one order cycle per year.
(1) How much safety stock should be carried if the order quantity is normally a week's supply?
(2) How much safety stock should be carried if the order quantity is weeks supply.
Solution:
No. of orders = 52/year. 1 stock out in 52 weeks means a 98 % = (51/52) values For 98% area, the value of
Z = 2.05 (from tables)
2.05 = (S S - 0 ) x 0.8/
SS = 2.05 x 60/0.8 = 154 units.
(a) Number of orders = 52/
1 stock out = (52/5 - 1)
Service level = (47/5)/(52/5) = 47/52 = 0.
Z = 1.285 (for area = 0.404) MAD = 60
S S = 75 x 1.285 = 96 units.