Example-Operation Research-Handouts, Lecture notes of Operational Research

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

2011/2012

Uploaded on 08/06/2012

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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:
1. If the company provides only average demand, we can expect only 50% service level.
2. The standard normal variate Z is computed with the following formula.
Z = (Safety stock - 0)/ Standard deviation
= (60 - 0)/40 = 1.5
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/ 0.8 32 / 0.8 40MAD MAD
Z = (S S - 0)/S.D = (80 - 0)/40 = 2
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)
S D = MAD/0.8 = 60/08
Z = (S S - 0 )/S D= (S S - 0)/60/0.8
2.05 = (S S - 0 ) x 0.8/60
SS = 2.05 x 60/0.8 = 154 units.
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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:

  1. If the company provides only average demand, we can expect only 50% service level.
  2. The standard normal variate Z is computed with the following formula.

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 

Z = (S S - 0)/S.D = (80 - 0)/40 = 2

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)

S D = MAD/0.8 = 60/

Z = (S S - 0 )/S D= (S S - 0)/60/0.

2.05 = (S S - 0 ) x 0.8/

SS = 2.05 x 60/0.8 = 154 units.

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(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

1.285 = S S/

S S = 75 x 1.285 = 96 units.

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