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Operations Research I IE 416 California State Polytechnic University, Pomona Linear programming Homework #4 on Page 97 TEAM 5 Serina Alkejek Harmeet Hora Kaveh “Kevin” Shamuilian

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Page 1: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Operations Research I IE 416

California State Polytechnic University, Pomona

Linear programming Homework #4 on Page 97

TEAM 5

Serina Alkejek Harmeet Hora Kaveh “Kevin” Shamuilian

Page 2: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Outline

Problem StatementSummary of problemFormulation of problemWinQSB Inputs and OutputsSolution Summary Objective Function Sensitivity AnalysisRHS Sensitivity AnalysisReport to Manger

Page 3: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Problem Statement

Page 4: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Summary of the ProblemParisay: needs modification based on my notes in Word file.

X1

X2

X21

X31

X32

X4

Page 5: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Formulation of Problem

Variables:X1 = Number of ounces of Product 1 soldX2 = Number of ounces of Product 2 soldX21 = Number of ounces of Product 2 sold after producing Product 1X31 = Number of ounces of Product 3 sold after producing Product 1X32 = Number of ounces of Product 3 sold after producing Product 2X4 = Number of pounds of raw materials

Objective Function: OF: Z= Profit =Total Revenue – processing costs – purchase cost

Maximize Z = 10X1 + 20X2 + 20X21 + 30X31 + 30X32 – 26X4 –1X21 – 2X31 – 6X32

Practical Conversion:1lb = 16oz.

Page 6: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Constraints:Maximum amount of Product 1 that can be sold (ounces): X1 ≤ 5000Maximum amount of Product 2 that can be sold (ounces): X2 + X21 ≤ 5000Maximum amount of Product 3 that can be sold (ounces): X31 + X32 ≤ 3000

Amt. of Product 1 available after raw material processing (ounces): 3X4 = X1 + X21 + X31

 Amount of Product 2 available after raw material processing (ounces): X4 = X2 + X32

 Maximum labor hours available (hours): 2X4 + 2X21 + 3X31 + 1X32 ≤ 25000

Formulation Of Problem

Sign Constraint:X1 ≥ 0 X2 ≥ 0X21 ≥ 0 X31 ≥ 0X32 ≥ 0 X4 ≥ 0

Page 7: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

WinQSB Input

Page 8: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

WinQSB Output

Page 9: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Solution Summary

# lb of Raw Materials 3,250 lb

# ounces product 1 sold 5,000 oz.

# ounces product 2 sold 3,250 oz.

# ounces product 1 product 2 1,750 oz.

# ounces product 1 product 3 3,000 oz.

# ounces product 2 product 3 None

Maximum profit : $147,750.00

Page 10: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Sensitivity Analysis of O.F.Parisay: refer to my comments in Word file

Page 11: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Sensitivity Analysis of O.F.Parisay: use graph not table

• If the “#oz prod 2 sold after producing 1” increases from 19 to 24• maximum profit will increase to $156,500.00, a favorable difference of $8,750.

Page 12: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Sensitivity Analysis of O.F.

Page 13: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Sensitivity Analysis of RHS

Page 14: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Sensitivity Analysis of RHS

Page 15: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Sensitivity Analysis of RHS

Total profit changes from $147,750 to $191,250 which is a $43,500 gain.

Page 16: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Report to ManagerParisay: it is better to add unit to the last column

•Maximum Profit: $147,750.00

Variable Quantity Net Loss/Profit

# lb of Raw Materials 3,250 lb Cost: $26/lb

# ounces product 1 sold 5,000 oz. Profit: $10/oz

# ounces product 2 sold 3,250 oz. Profit: $20

# ounces product 1 product 2

1,750 oz. Profit: $19

# ounces product 1 product 3

3,000 oz. Profit:$28

# ounces product 2 product 3

None -

Page 17: Operations Research I IE 416 California State Polytechnic University, Pomona Operations Research I IE 416 California State Polytechnic University, Pomona

Questions ?