Operations Research : Applications and Algorithms
Operations Research : Applications and Algorithms
4th Edition
ISBN: 9780534380588
Author: Wayne L. Winston
Publisher: Brooks Cole
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Chapter 3, Problem 34RP

Explanation of Solution

 Formulation of Linear Programming (LP) to minimize the cost of meeting air conditioner demands for the next three months:

 Let consider,

  • “xi” be the number of production of air conditioners during month “i”:
  • “yi” be the number of production of air conditioners during month “i”:
  • “Ii” be the inventory at the end of month “i”:

 The objective is to minimize the cost of meeting the three months’ demand.

 z=[(cost of production of AC in LA)(number of production of AC in LA)+(cost of production of AC in NY)(number of production of AC in NY)+(cost to hold an AC)(AC in inventory for i month)]

 z=400(x1+x2+x3)+350(y1+y2+y3)+100(I1+I2+I3)

 Therefore, the objective function is,

 Minimize

 z=400(x1+x2+x3)+350(y1+y2+y3)+100(I1+I2+I3)

 Constraint 1:

 During month 1, 300 air conditioners are in demand and at the beginning of month 1 Airco has 200 air conditioner.

 (inventory at the end of month 1)=[(inventory of AC at the beginning of month 1)+(production during month 1)(number of AC required during month 1)]

 I1=200+x1+y1300I1200x1y1+300=0

 Constraint 2:

 During month 2, 400 air conditioners are in demand.

 (inventory at the end of month 2)=[(inventory of AC at the beginning of month 2)+(production during month 2)(number of AC required during month 2)]

 I2=I1+x2+y2400I2I1x2y2+400=0

 Constraint 3:

 During month 3, 500 air conditioners are in demand

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Chapter 3 Solutions

Operations Research : Applications and Algorithms

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