LP Formulation Practice Set 1. 2 Ardavan Asef-Vaziri June-2013LP-Formulation Management is...
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Transcript of LP Formulation Practice Set 1. 2 Ardavan Asef-Vaziri June-2013LP-Formulation Management is...
LP FormulationPractice Set 1
2Ardavan Asef-Vaziri June-2013LP-Formulation
Management is considering devoting some excess capacity to one or more of three products. The hours required from each resource for each unit of product, the available capacity (hours per week) of the three resources, as well as the profit of each unit of product are given below.
Problem 1. Optimal Product Mix
Sales department indicates that the sales potentials for products 1 and 2 exceeds maximum production rate, but the sales potential for product 3 is 20 units per week.
Formulate the problem and solve it using excel
Total hours avialableProduct1 Product2 Product3
9 3 5 5005 4 0 3503 0 2 150
$50 $20 $25 Profit
Hours used per unit
3Ardavan Asef-Vaziri June-2013LP-Formulation
Decision Variables x1 : volume of product 1
x2 : volume of product 2x3 : volume of product 3Objective Function Max Z = 50 x1 +20 x2 +25 x3
ConstraintsResources9 x1 +3 x2 +5 x3 500 5 x1 +4 x2 + 350 3 x1 + +2 x3 150 Market x3 20Nonnegativityx1 0, x2 0 , x3 0
Problem Formulation
4Ardavan Asef-Vaziri June-2013LP-Formulation
An appliance manufacturer produces two models of microwave ovens: H and W. Both models require fabrication and assembly work: each H uses four hours fabrication and two hours of assembly, and each W uses two hours fabrication and six hours of assembly. There are 600 fabrication hours this week and 450 hours of assembly. Each H contributes $40 to profit, and each W contributes $30 to profit.
a) Formulate the problem as a Linear Programming problem.
b) Solve it using excel.
c) What are the final values?
d) What is the optimal value of the objective function?
Problem 2
5Ardavan Asef-Vaziri June-2013LP-Formulation
Decision Variables xH : volume of microwave oven type H xW : volume of microwave oven type W
Objective Function Max Z = 40 xH +30 xW
ConstraintsResources4 xH +2 xW 600 2 xH +6 xW 450
NonnegativityxH 0, xW 0
Problem Formulation
6Ardavan Asef-Vaziri June-2013LP-Formulation
A small candy shop is preparing for the holyday season. The owner must decide how many how many bags of deluxe mix how many bags of standard mix of Peanut/Raisin Delite to put up. The deluxe mix has 2/3 pound raisins and 1/3 pounds peanuts, and the standard mix has 1/2 pound raisins and 1/2 pounds peanuts per bag. The shop has 90 pounds of raisins and 60 pounds of peanuts to work with. Peanuts cost $0.60 per pounds and raisins cost $1.50 per pound. The deluxe mix will sell for 2.90 per pound and the standard mix will sell for 2.55 per pound. The owner estimates that no more than 110 bags of one type can be sold.
a) Formulate the problem as a Linear Programming problem.
b) Solve it using excel.
c) What are the final values?
d) What is the optimal value of the objective function?
Problem 3
7Ardavan Asef-Vaziri June-2013LP-Formulation
Decision Variables x1 : volume of deluxe mix
x2 : volume of standard mix
Objective Function Max Z = [2.9-0.60(1/3)-1.5(2/3)] x1 + [2.55-0.60(1/2)-1.5(1/2)] x2 Max Z = 1.7x1 + 1.5 x2 ConstraintsResources(2/3) x1 +(1/2) x2 90 (1/3) x1 +(1/2) x2 60
Nonnegativityx1 0, x2 0
Problem Formulation
8Ardavan Asef-Vaziri June-2013LP-Formulation
Resource Usage per Unit Produced
Resource Product A Product B Amount of resource available
Q 2 1 2
R 1 2 2
S 3 3 4
Profit/Unit $3000 $2000
The following table summarizes the key facts about two products, A and B, and the resources, Q, R, and S, required to produce them.
Problem 4
a) Formulate the problem as a Linear Programming problem.
b) Solve it using excel.c) What are the final values? d) What is the optimal value of the objective function?
9Ardavan Asef-Vaziri June-2013LP-Formulation
Decision Variables xA : volume of product A
xB : volume of product B
Objective Function Max Z = 3000 xA +2000 xB
ConstraintsResources2 xA +1 xB 21 xA +2 xB 23 xA +3 xB 4
NonnegativityxA 0, xB 0
Problem Formulation
10Ardavan Asef-Vaziri June-2013LP-Formulation
The Apex Television Company has to decide on the number of 27” and 20” sets to be produced at one of its factories. Market research indicates that at most 40 of the 27” sets and 10 of the 20” sets can be sold per month. The maximum number of work-hours available is 500 per month. A 27” set requires 20 work-hours and a 20” set requires 10 work-hours. Each 27” set sold produces a profit of $120 and each 20” set produces a profit of $80. A wholesaler has agreed to purchase all the television sets produced if the numbers do not exceed the maximum indicated by the market research.a) Formulate the problem as a Linear Programming
problem.b) Solve it using excel.c) What are the final values? d) What is the optimal value of the objective function?
Problem 5
11Ardavan Asef-Vaziri June-2013LP-Formulation
Decision Variables x1 : number of 27’ TVs
x2 : number of 20’ TVs
Objective Function Max Z = 120 x1 +80 x2
ConstraintsResources20 x1 +10 x2 500Market x1 40 x2 10
Nonnegativityx1 0, x2 0
Problem Formulation
12Ardavan Asef-Vaziri June-2013LP-Formulation
Ralph Edmund has decided to go on a steady diet of only streak and potatoes s (plus some liquids and vitamins supplements). He wants to make sure that he eats the right quantities of the two foods to satisfy some key nutritional requirements. He has obtained the following nutritional and cost information. Ralph wishes to determine the number of daily servings (may be fractional of steak and potatoes that will meet these requirements at a minimum cost.Grams of Ingredient per Serving
Ingredient Steak Potatoes Daily Requirements (grams)
Carbohydrates 5 15 ≥ 50
Protein 20 5 ≥ 40
Fat 15 2 ≤ 60
Cost per serving $4 $2
Formulate the problem as an LP model. Solve it using excel. What are the final values? What is the optimal value of the objective function?
Problem 6
13Ardavan Asef-Vaziri June-2013LP-Formulation
Decision Variables x1 : serving of steak
x2 : serving of potato
Objective Function Min Z = 4 x1 +2x2
ConstraintsResources5 x1 +15 x2 ≥ 5020 x1 +5 x2 ≥ 4015 x1 +2 x2 ≥ 60
Nonnegativityx1 0, x2 0
Problem Formulation
14Ardavan Asef-Vaziri June-2013LP-Formulation
A farmer has 10 acres to plant in wheat and rye. He has to plant at least 7 acres. However, he has only $1200 to spend and each acre of wheat costs $200 to plant and each acre of rye costs $100 to plant. Moreover, the farmer has to get the planting done in 12 hours and it takes an hour to plant an acre of wheat and 2 hours to plant an acre of rye. If the profit is $500 per acre of wheat and $300 per acre of rye, how many acres of each should be planted to maximize profits?
Problem 7
State the decision variables. x = the number of acres of wheat to plant
y = the number of acres of rye to plant Write the objective function. maximize 500x +300y
15Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 7
Write the constraints.
x+y ≤ 10 (max acreage)x+y ≥ 7 (min acreage)200x + 100y ≤ 1200 (cost)x + 2y ≤ 12 (time)x ≥ 0, y ≥ 0 (non-negativity)
16Ardavan Asef-Vaziri June-2013LP-Formulation
You are given the following linear programming model in algebraic form, where, X1 and X2 are the decision variables and Z is the value of the overall measure of performance.
Maximize Z = X1 +2 X2
Subject to
Constraints on resource 1: X1 + X2 ≤ 5 (amount available)
Constraints on resource 2: X1 + 3X2 ≤ 9 (amount available)
And
X1 , X2 ≥ 0
Problem 8
17Ardavan Asef-Vaziri June-2013LP-Formulation
Identify the objective function, the functional constraints, and the non-negativity constraints in this model.
Objective Function Maximize Z = X1 +2 X2
Functional constraints X1 + X2 ≤ 5, X1 + 3X2 ≤ 9
Is (X1 ,X2) = (3,1) a feasible solution?
3 + 1 ≤ 5, 3 + 3(1) ≤ 9 yes; it satisfies both constraints.
Is (X1 ,X2) = (1,3) a feasible solution?
1 + 3 ≤ 5, 1 + 3(9) > 9 no; it violates the second constraint.
Problem 8
18Ardavan Asef-Vaziri June-2013LP-Formulation
You are given the following linear programming model in algebraic form, where, X1 and X2 are the decision variables and Z is the value of the overall measure of performance.
Maximize Z = 3X1 +2 X2
Subject to
Constraints on resource 1: 3X1 + X2 ≤ 9 (amount available)
Constraints on resource 2: X1 + 2X2 ≤ 8 (amount available)
And
X1 , X2 ≥ 0
Problem 9
19Ardavan Asef-Vaziri June-2013LP-Formulation
Identify the objective function, Maximize Z = 3X1 +2 X2
the functional constraints, 3X1 + X2 ≤ 9 and X1 + 2X2 ≤ 8 the non-negativity constraintsX1 , X2 ≥ 0 Is (X1 ,X2) = (2,1) a feasible solution? 3(2) + 1 ≤ 9 and 2 + 2(1) ≤ 8 yes; it satisfies both
constraintsIs (X1 ,X2) = (2,3) a feasible solution? 3(2) + 3 ≤ 9 and 2 + 2(3) ≤ 8 yes; it satisfies both
constraintsIs (X1 ,X2) = (0,5) a feasible solution?3(0) + 5 ≤ 9 and 0 + 2(5) > 8 no; it violates the second
constraint
Problem 9
20Ardavan Asef-Vaziri June-2013LP-Formulation
The Quality Furniture Corporation produces
benches and tables.
The firm has two main resources
Resources
labor and redwood for use in the furniture.
During the next production period
1200 labor hours are available under a union
agreement.
A stock of 5000 pounds of quality redwood is also
available.
Problem 10. Product mix problem : Narrative representation
21Ardavan Asef-Vaziri June-2013LP-Formulation
Consumption and profit
Each bench that Quality Furniture produces requires
4 labor hours and 10 pounds of redwood
Each picnic table takes 7 labor hours and 35 pounds of
redwood.
Total available 1200, 5000
Completed benches yield a profit of $9 each,
and tables a profit of $20 each.
Formulate the problem to maximize the total profit.
Problem 10. Product mix problem : Narrative representation
22Ardavan Asef-Vaziri June-2013LP-Formulation
x1 = number of benches to produce
x2 = number of tables to produce
Maximize Profit = ($9) x1 +($20) x2
subject to
Labor: 4 x1 + 7 x2 1200 hours
Wood: 10 x1 + 35 x2 5000 pounds
and x1 0, x2 0.
We will now solve this LP model using the Excel Solver.
Problem 10. Product Mix : Formulation
23Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 10. Product Mix : Excel solution
24Ardavan Asef-Vaziri June-2013LP-Formulation
Electro-Poly is a leading maker of slip-rings.A new order has just been received.
Model 1 Model 2 Model 3
Number ordered 3,000 2,000 900
Hours of wiring/unit 2 1.5 3
Hours of harnessing/unit 1 2 1
Cost to Make $50 $83 $130
Cost to Buy $61 $97 $145
The company has 10,000 hours of wiring capacity and 5,000 hours of harnessing capacity.
Problem 11. Make / buy decision : Narrative representation
25Ardavan Asef-Vaziri June-2013LP-Formulation
x1 = Number of model 1 slip rings to make
x2 = Number of model 2 slip rings to make
x3 = Number of model 3 slip rings to make
y1 = Number of model 1 slip rings to buy
y2 = Number of model 2 slip rings to buy
y3 = Number of model 3 slip rings to buy
The Objective Function
Minimize the total cost of filling the order.
MIN: 50x1 + 83x2 + 130x3 + 61y1 + 97y2 + 145y3
Problem 11. Make / buy decision : decision variables
26Ardavan Asef-Vaziri June-2013LP-Formulation
Demand Constraints
x1 + y1 = 3,000 } model 1
x2 + y2 = 2,000 } model 2
x3 + y3 = 900 } model 3
Resource Constraints
2x1 + 1.5x2 + 3x3 <= 10,000 } wiring
1x1 + 2.0x2 + 1x3 <= 5,000 } harnessing
Nonnegativity Conditions
x1, x2, x3, y1, y2, y3 >= 0
Problem 11. Make / buy decision : Constraints
27Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 11. Make / buy decision : Excel
28Ardavan Asef-Vaziri June-2013LP-Formulation
Do we really need 6 variables? x1 + y1 = 3,000 ===> y1 = 3,000 - x1
x2 + y2 = 2,000 ===> y2 = 2,000 - x2
x3 + y3 = 900 ===> y3 = 900 - x3
The objective function was MIN: 50x1 + 83x2 + 130x3 + 61y1 + 97y2 + 145y3
Just replace the valuesMIN: 50x1 + 83x2 + 130x3 + 61 (3,000 - x1 ) + 97 (
2,000 - x2) +
145 (900 - x3 )
MIN: 507500 - 11x1 -14x2 -15x3
We can even forget 507500, and change the the O.F. into
MIN - 11x1 -14x2 -15x3 or
MAX + 11x1 +14x2 +15x3
Problem 11. Make / buy decision : Constraints
29Ardavan Asef-Vaziri June-2013LP-Formulation
Resource Constraints
2x1 + 1.5x2 + 3x3 <= 10,000 } wiring
1x1 + 2.0x2 + 1x3 <= 5,000 } harnessing
Demand Constraints
x1 <= 3,000 } model 1
x2 <= 2,000 } model 2
x3 <= 900 } model 3
Nonnegativity Conditions
x1, x2, x3 >= 0
Problem 11. Make / buy decision : Constraints
MAX + 11x1 +14x2 +15x3
30Ardavan Asef-Vaziri June-2013LP-Formulation
MIN: 50x1 + 83x2 + 130x3
+ 61y1 + 97y2 + 145y3
Demand Constraints
x1 + y1 = 3,000 } model 1
x2 + y2 = 2,000 } model 2
x3 + y3 = 900 } model 3
Resource Constraints
2x1 + 1.5x2 + 3x3 <= 10,000 }
wiring
1x1 + 2.0x2 + 1x3 <= 5,000 }
harnessingNonnegativity Conditions
x1, x2, x3, y1, y2, y3 >= 0
Problem 11. Make / buy decision : Constraints
y1 = 3,000- x1
y2 = 2,000-x2
y3 = 900-x3
MIN: 50x1 + 83x2 + 130x3 + 61(3,000- x1)
+ 97(2,000-x2) + 145(900-x3)
y1 = 3,000- x1>=0 y2 = 2,000-x2>=0 y3 = 900-x3>=0
x1 <= 3,000x2 <= 2,000x3 <= 900
31Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 12. Marketing : narrative
A department store want to maximize exposure. There are 3 media; TV, Radio, Newspapereach ad will have the following impactMedia Exposure (people / ad) CostTV 20000 15000Radio 12000 6000News paper 9000 4000Additional information1-Total budget is $100,000.2-The maximum number of ads in T, R, and N are limited to 4, 10, 7 ads respectively.3-The total number of ads is limited to 15.
32Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 12. Marketing : formulation
Decision variablesx1 = Number of ads in TV
x2 = Number of ads in R
x3 = Number of ads in N
Max Z = 20 x1 + 12x2 +9x3
15x1 + 6x2 + 4x3 100
x1 4 x2 10
x3 7 x1 + x2 + x3 15
x1, x2, x3 0
33Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 13. ( From Hillier and Hillier)
Men, women, and children gloves.
Material and labor requirements for each type and the corresponding profit are given below. Glove Material (sq-feet) Labor (hrs) ProfitMen 2 0.5 8Women 1.5 0.75 10Children 1 0.67 6Total available material is 5000 sq-feet.We can have full time and part time workers.Full time workers work 40 hrs/w and are paid $13/hrPart time workers work 20 hrs/w and are paid $10/hrWe should have at least 20 full time workers.The number of full time workers must be at least twice of that of part times.
34Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 13. Decision variables
X1 : Volume of production of Men’s glovesX2 : Volume of production of Women’s glovesX3 : Volume of production of Children’s gloves
Y1 : Number of full time employeesY2 : Number of part time employees
35Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 13. Constraints
Row material constraint2X1 + 1.5X2 + X3 5000Full time employeesY1 20Relationship between the number of Full and Part time employeesY1 2 Y2Labor Required.5X1 + .75X2 + .67X3 40 Y1 + 20Y2
Objective FunctionMax Z = 8X1 + 10X2 + 6X3 - 520 Y1 - 200 Y2
Non-negativityX1 , X2 , X3 , Y1 , Y2 0
36Ardavan Asef-Vaziri June-2013LP-Formulation
Problem 13. Excel Solution
2 1.5 1 0 <= 50001 0 >= 201 -2 0 >= 0
0.5 0.75 0.67 -40 -20 0 <= 08 10 6 -520 -200 0
X1 X2 X3 Y1 Y2
2 1.5 1 5000 <= 50001 25 >= 201 -2 0 >= 0
0.5 0.75 0.67 -40 -20 0 <= 08 10 6 -520 -200 4500
2500 0 0 25 12.5X1 X2 X3 Y1 Y2