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A Toy Production Problem Product Man-Power Machine Profit Type A 3 h 1 h 25 SR Type B 2 h 4 h 15 SR Availability 70 h 110 h How many units to produce from each ... – PowerPoint PPT presentation

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Title: ThemeGallery PowerTemplate


1
A Toy Production Problem
Product Man-Power Machine Profit
Type A 3 h 1 h 25 SR
Type B 2 h 4 h 15 SR
Availability 70 h 110 h
  • How many units to produce from each product
    type in order to maximize the profit?

2
A Toy Production Problem
Product Man-Power Machine Profit
Type A 3 h 1 h 25 SR
Type B 2 h 4 h 15 SR
Availability 70 h 110 h
  • xA  number of units of product type A
  • xB  number of units of product type B
  •  
  • Total Profit 25 xA 15 xB
  •  
  • Man-Power availability 3 xA 2 xB ? 70
  •  
  • Machine availability xA 4 xB ? 110

3
A Toy Production Problem
  • The corresponding linear program (LP) is

Objective function
Max Z 25 xA 15 xB Subject to 3 xA 2 xB ? 70 xA 4 xB ? 110 xA , xB ? IN
Constraints
Decision Variables
4
A Toy Production Problem
  • The optimal solution of the LP is
  • xA 22 , xB 2 and Z 580 SR
  • The optimal solution of the toy production
    problem is to produce 22 units of toy A and 2
    units of toy B.
  • The optimal profit is 580 SR.

5
A Banking Problem
Type of loan Profit rate Bad debt ratio
1 Personal 0.14 0.10
2 Car 0.13 0.07
3 Home 0.12 0.03
4 Farm 0.125 0.05
5 Commercial 0.10 0.03
  • A bank is in the process to allocate 12 million
    SR to different types of loans.
  • Competition with other financial institutions
    suggests allocating at least 40 of the funds to
    farm commercial loans.
  • To assist in the housing industry, the home
    loans must be at least 50 of the personal, car
    and home loans.
  • The bank management requires that the overall
    bad ratio debt not to exceed 4.
  • The bank wants to determine the best loan policy
    that will maximize its profit rate.

6
A Banking Problem
Type of loan Profit rate Bad debt ratio
1 Personal 0.14 0.10
2 Car 0.13 0.07
3 Home 0.12 0.03
4 Farm 0.125 0.05
5 Commercial 0.10 0.03
Decision variables x1 amount of personal loans
(in million SR) x2 amount of car loans (in
million SR) x3 amount of home loans (in million
SR) x4 amount of farm loans (in million SR) x5
amount of commercial loans (in million SR)
7
A Banking Problem
Type of loan Profit rate Bad debt ratio
1 Personal 0.14 0.10
2 Car 0.13 0.07
3 Home 0.12 0.03
4 Farm 0.125 0.05
5 Commercial 0.10 0.02
Objective function Max Z 0.14(0.90)x1
0.13(0.93)x2 0.12(0.97)x30.125(0.95)x40.1
(0.98)x5 - 0.1x1- 0.07x2- 0.03x3- 0.05x4-0.02x5
8
A Banking Problem
Type of loan Profit rate Bad debt ratio
1 Personal 0.14 0.10
2 Car 0.13 0.07
3 Home 0.12 0.03
4 Farm 0.125 0.05
5 Commercial 0.10 0.03
  • Constraints
  • The total funds shall not exceed 12 million SR
  • x1x2 x3 x4x5 ? 12
  • Farm and commercial loan constraint
  • x4x5 ? 0.4(x1x2 x3 x4x5)
  • Home loans constraint
  • x3 ? 0.5(x1x2 x3)

9
A Banking Problem
Type of loan Profit rate Bad debt ratio
1 Personal 0.14 0.10
2 Car 0.13 0.07
3 Home 0.12 0.03
4 Farm 0.125 0.05
5 Commercial 0.10 0.03
  • Constraints
  • Limit on bad debts rule
  • (0.1x1 0.07x2 0.03x3 0.05x40.02x5)/( x1x2
    x3 x4x5) ? 0.04
  • (NONLINEAR)
  • or equivalently,
  • 0.06x1 0.03x2- 0.01x3
    0.01x4- 0.02x5 ? 0

10
A Banking Problem
  • The optimal solution of the LP is
  • x1 x2 x4 0 , x3 7.2, x5 4.8 and
    Z 0.99648
  • The optimal solution consists in allocating 7.2
    M to the home type and 4.8 M to commercial type.
  • The optimal profit is 0.996 M SR.

11
A Telecommunication Problem
  • We have to place transmitters on the sites
    A,B,,G.
  • Each transmitter covers the two adjacent zones
    (e.g. if a transmitter is placed on site D, then
    it will cover both zones 3 and 4).
  • Each Zone must be covered with at least one
    transmitter.
  • Zone 4 must be covered by at least 2
    transmitters.
  • What is the minimum number of transmitters to be
    placed?
  • Where should they be placed?

12
A Telecommunication Problem

Decision variables xi 1 if a transmitter is to
be placed on site i (i A,B,,G) 0
otherwise Objective function Min Z xA xB
xC xD xE xF xG
13
A Telecommunication Problem
  • Constraints
  • xA xB xC ? 1 (Zone 1)
  • xA xE xF ? 1 (Zone 2)
  • xB xD ? 1 (Zone 3)
  • xC xD xE xG ? 2 (Zone 4)
  • xF xG ? 1 (Zone 5)
  • xi ? 0,1 for all iA,B,,G

14
A Telecommunication Problem
  • The optimal solution of the LP is
  • xA xD xG  1
  • xB  xC  xE  xF 0
  • Z 3
  • The optimal solution of the telecommunication
    problem is to place one transmitter at each of
    the sites A, D, and G.

15
A Transportation Problem
Sources
Destinations

Demand 4 5 8
Supply 8 9
Unit transportation cost
  • All the demands must be satisfied.
  • All the supplies must be delivered.
  • How many units to transport from each source to
    each destination in order to minimize the total
    transportation cost?

16
A Transportation Problem
Sources
Destinations

Demand 4 5 8
Supply 8 9
Unit transportation cost
  • xij  number of units transported from Source i
    to Destination j
  • i1,2 jA,B,C
  • Objective function
  • Min Z 5 x1A 3 x1B 6 x1C 4 x2A 7 x2B
    2 x2C

17
A Transportation Problem
Sources
Destinations

Demand 4 5 8
Supply 8 9
  • Constraints
  • x1A x1B x1C 8 (Supply of D1)
  • x2A x2B x2C 9 (Supply of D2)
  • x1A x2A 4 (Demand of
    A)
  • x1B x2B 5 (Demand of
    B)
  • x1C x2C 8 (Demand of
    C)
  • x1A ,x1B , x1C , x2A , x2B , x2C  ? IN

18
A Transportation Problem
Sources
Destinations

Demand 4 5 8
Supply 8 9
Optimal solution x1A 3, x1B 5, x1C  0,
x2A  1, x2B  0, x2C  8 Z 50
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