SlideShare a Scribd company logo
1 of 7
Simplex
Part 3 of 4
Professor Ed Dansereau
3. Test for Optimality
To check to determine if the current extreme point is the optimal solution is a simple
interpretation of the Net Eval row.
● For a Maximization problem
○ All numbers in the Net Eval row must be Greater or Equal than zero
● For a Minimization problem
○ All numbers in the Net Eval row must be Less than or Equal to zero
3. Test for Optimality
Our example we want to maximize profit
For a Max problem the net eval row must be <= 0 for an optimal solution
We do not have an optimal solution.
Net Eval 250 400 0 0 0
4. Identify Entering & Leaving Variables
To move to the next extreme point, we must identify which variable will move into
the basis and which will leave. We start by identifying the Entering Variable by
looking at the Net Evaluation row.
For a Maximization problem (Zmax)
Choose the number that has the largest positive value, the farthest from zero.
For a Minimization problem (Zmin)
Choose the number that has the largest negative value, the farthest from zero.
The column of the entering variable is referred to as the Pivot Column.
4. Identify Entering & Leaving Variables
Initial Tableau
250 400 0 0 0
Basis C X1 X2 S1 S2 S3 Q
S1 0 2.5 3 1 0 0 30
S2 0 8 4 0 1 0 80
S3 0 2 6 0 0 1 48
Z row 0 0 0 0 0 0
Net Eval 250 400 0 0 0
X2 is the entering variable because it is the most positive
4. Identify Entering & Leaving Variables
The number of values in the basis can not change. To add the entering variable, we
must take one away, the leaving variable. To find the leaving variable
For each variable in the basis, divide the Q by the sub.rate of the pivot column. Of
the numbers generate select the smallest positive Q/(sub.rate). Negative and
undefined numbers may not be selected.
An undefined number is any number divided by zero, 48/0 = undefined.
4. Identify Entering & Leaving Variables
The Leaving Variable is S3 because it has the smallest positive Q/(sub.rate)
250 400 0 0 0
Basis C X1 X2 S1 S2 S3 Q Q/(Sub.rate)
S1 0 2.5 3 1 0 0 30 30/3 = 10
S2 0 8 4 0 1 0 80 80/4 = 20
S3 0 2 6 0 0 1 48 48/6 = 8
Z row 0 0 0 0 0 0
Net Eval 250 400 0 0 0
Leaving Variable

More Related Content

What's hot

Rational functions 13.1 13.2
Rational functions 13.1 13.2Rational functions 13.1 13.2
Rational functions 13.1 13.2RobinFilter
 
Zero & Negative Exponents
Zero & Negative ExponentsZero & Negative Exponents
Zero & Negative ExponentsBitsy Griffin
 
Quantitative Analysis For Decision Making
Quantitative Analysis For Decision MakingQuantitative Analysis For Decision Making
Quantitative Analysis For Decision Makingaminsand
 
Simulation - Generating Continuous Random Variables
Simulation - Generating Continuous Random VariablesSimulation - Generating Continuous Random Variables
Simulation - Generating Continuous Random VariablesMartin Kretzer
 
Generate and test random numbers
Generate and test random numbersGenerate and test random numbers
Generate and test random numbersMshari Alabdulkarim
 
Operations research : Assignment problem (One's method) presentation
Operations research : Assignment problem (One's method) presentationOperations research : Assignment problem (One's method) presentation
Operations research : Assignment problem (One's method) presentationPankaj Kumar
 
Random Number Generation
Random Number GenerationRandom Number Generation
Random Number GenerationRaj Bhatt
 
2.4 Linear Functions
2.4 Linear Functions2.4 Linear Functions
2.4 Linear Functionssmiller5
 
6 logistic regression classification algo
6 logistic regression   classification algo6 logistic regression   classification algo
6 logistic regression classification algoTanmayVijay1
 
Rational Functions
Rational FunctionsRational Functions
Rational FunctionsJazz0614
 
Inequalities 1
Inequalities 1Inequalities 1
Inequalities 1jsimpson35
 
Data Structure Presentation
Data Structure PresentationData Structure Presentation
Data Structure Presentationpinturam2
 

What's hot (20)

Rational functions 13.1 13.2
Rational functions 13.1 13.2Rational functions 13.1 13.2
Rational functions 13.1 13.2
 
Assignment problem
Assignment problemAssignment problem
Assignment problem
 
Zero & Negative Exponents
Zero & Negative ExponentsZero & Negative Exponents
Zero & Negative Exponents
 
Quantitative Analysis For Decision Making
Quantitative Analysis For Decision MakingQuantitative Analysis For Decision Making
Quantitative Analysis For Decision Making
 
7 regularization
7 regularization7 regularization
7 regularization
 
3
33
3
 
Simulation - Generating Continuous Random Variables
Simulation - Generating Continuous Random VariablesSimulation - Generating Continuous Random Variables
Simulation - Generating Continuous Random Variables
 
Generate and test random numbers
Generate and test random numbersGenerate and test random numbers
Generate and test random numbers
 
Operations research : Assignment problem (One's method) presentation
Operations research : Assignment problem (One's method) presentationOperations research : Assignment problem (One's method) presentation
Operations research : Assignment problem (One's method) presentation
 
Random Number Generation
Random Number GenerationRandom Number Generation
Random Number Generation
 
Matlab
MatlabMatlab
Matlab
 
Qa 2
Qa 2Qa 2
Qa 2
 
2.4 Linear Functions
2.4 Linear Functions2.4 Linear Functions
2.4 Linear Functions
 
MATRICES
MATRICESMATRICES
MATRICES
 
Calc 2.1
Calc 2.1Calc 2.1
Calc 2.1
 
6 logistic regression classification algo
6 logistic regression   classification algo6 logistic regression   classification algo
6 logistic regression classification algo
 
Rational Functions
Rational FunctionsRational Functions
Rational Functions
 
Inequalities 1
Inequalities 1Inequalities 1
Inequalities 1
 
simplex method
simplex methodsimplex method
simplex method
 
Data Structure Presentation
Data Structure PresentationData Structure Presentation
Data Structure Presentation
 

Similar to Simplex part 3 of 4

Chapter 1 Assignment Problems (DS) (1).pptx
Chapter 1 Assignment Problems (DS) (1).pptxChapter 1 Assignment Problems (DS) (1).pptx
Chapter 1 Assignment Problems (DS) (1).pptxPriyankaLunavat
 
Insider mathematical
Insider   mathematicalInsider   mathematical
Insider mathematicalAditi Saxena
 
Decision Science.pdf
Decision Science.pdfDecision Science.pdf
Decision Science.pdfpandeyaman577
 
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"22bcs058
 
Chapter iii: Number System
Chapter iii: Number SystemChapter iii: Number System
Chapter iii: Number Systemkclove
 
simplex method for operation research .pdf
simplex method for operation research .pdfsimplex method for operation research .pdf
simplex method for operation research .pdfmohammedsaaed1
 
Chapter 3.Simplex Method hand out last.pdf
Chapter 3.Simplex Method hand out last.pdfChapter 3.Simplex Method hand out last.pdf
Chapter 3.Simplex Method hand out last.pdfTsegay Berhe
 
Data Structures - Lecture 8 [Sorting Algorithms]
Data Structures - Lecture 8 [Sorting Algorithms]Data Structures - Lecture 8 [Sorting Algorithms]
Data Structures - Lecture 8 [Sorting Algorithms]Muhammad Hammad Waseem
 
performance management and Resource optimization part-2.pptx
performance management and Resource optimization part-2.pptxperformance management and Resource optimization part-2.pptx
performance management and Resource optimization part-2.pptxtefera21
 
Liang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygons
Liang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygonsLiang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygons
Liang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygonsLahiru Danushka
 

Similar to Simplex part 3 of 4 (20)

Chapter 1 Assignment Problems (DS) (1).pptx
Chapter 1 Assignment Problems (DS) (1).pptxChapter 1 Assignment Problems (DS) (1).pptx
Chapter 1 Assignment Problems (DS) (1).pptx
 
Hungarian algorithm
Hungarian algorithmHungarian algorithm
Hungarian algorithm
 
Simplex method
Simplex methodSimplex method
Simplex method
 
Insider mathematical
Insider   mathematicalInsider   mathematical
Insider mathematical
 
Decision Science.pdf
Decision Science.pdfDecision Science.pdf
Decision Science.pdf
 
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
 
Linear programming
Linear programmingLinear programming
Linear programming
 
Simplex algorithm
Simplex algorithmSimplex algorithm
Simplex algorithm
 
Sorting ppt
Sorting pptSorting ppt
Sorting ppt
 
Chapter iii: Number System
Chapter iii: Number SystemChapter iii: Number System
Chapter iii: Number System
 
4-The Simplex Method.ppt
4-The Simplex Method.ppt4-The Simplex Method.ppt
4-The Simplex Method.ppt
 
simplex method for operation research .pdf
simplex method for operation research .pdfsimplex method for operation research .pdf
simplex method for operation research .pdf
 
Chapter 3.Simplex Method hand out last.pdf
Chapter 3.Simplex Method hand out last.pdfChapter 3.Simplex Method hand out last.pdf
Chapter 3.Simplex Method hand out last.pdf
 
D026017036
D026017036D026017036
D026017036
 
Data Structures - Lecture 8 [Sorting Algorithms]
Data Structures - Lecture 8 [Sorting Algorithms]Data Structures - Lecture 8 [Sorting Algorithms]
Data Structures - Lecture 8 [Sorting Algorithms]
 
s4_quick_sort.ppt
s4_quick_sort.ppts4_quick_sort.ppt
s4_quick_sort.ppt
 
performance management and Resource optimization part-2.pptx
performance management and Resource optimization part-2.pptxperformance management and Resource optimization part-2.pptx
performance management and Resource optimization part-2.pptx
 
Liang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygons
Liang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygonsLiang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygons
Liang- Barsky Algorithm, Polygon clipping & pipeline clipping of polygons
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
 
Chapter 7 rohith
Chapter 7 rohithChapter 7 rohith
Chapter 7 rohith
 

More from Ed Dansereau

Social media in job search
Social media in job searchSocial media in job search
Social media in job searchEd Dansereau
 
Social media use in job search
Social media use in job searchSocial media use in job search
Social media use in job searchEd Dansereau
 
Marketing management orientation philosophies
Marketing management orientation philosophiesMarketing management orientation philosophies
Marketing management orientation philosophiesEd Dansereau
 
Basic Business Forecasting
Basic Business ForecastingBasic Business Forecasting
Basic Business ForecastingEd Dansereau
 
Simplex part 1 of 4
Simplex part 1 of 4Simplex part 1 of 4
Simplex part 1 of 4Ed Dansereau
 
Linear Programming Quiz Solution
Linear Programming Quiz SolutionLinear Programming Quiz Solution
Linear Programming Quiz SolutionEd Dansereau
 
Break even and outsource analysis
Break even and outsource analysisBreak even and outsource analysis
Break even and outsource analysisEd Dansereau
 
How to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - IntroductionHow to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - IntroductionEd Dansereau
 
Integrating Social Media into the Classroom, VSC Presentation
Integrating Social Media into the Classroom, VSC PresentationIntegrating Social Media into the Classroom, VSC Presentation
Integrating Social Media into the Classroom, VSC PresentationEd Dansereau
 
Students' expectations of the use of social media in the classroom
Students' expectations of the use of social media in the classroomStudents' expectations of the use of social media in the classroom
Students' expectations of the use of social media in the classroomEd Dansereau
 
The influence of permission marketing final version
The influence of permission marketing final versionThe influence of permission marketing final version
The influence of permission marketing final versionEd Dansereau
 

More from Ed Dansereau (11)

Social media in job search
Social media in job searchSocial media in job search
Social media in job search
 
Social media use in job search
Social media use in job searchSocial media use in job search
Social media use in job search
 
Marketing management orientation philosophies
Marketing management orientation philosophiesMarketing management orientation philosophies
Marketing management orientation philosophies
 
Basic Business Forecasting
Basic Business ForecastingBasic Business Forecasting
Basic Business Forecasting
 
Simplex part 1 of 4
Simplex part 1 of 4Simplex part 1 of 4
Simplex part 1 of 4
 
Linear Programming Quiz Solution
Linear Programming Quiz SolutionLinear Programming Quiz Solution
Linear Programming Quiz Solution
 
Break even and outsource analysis
Break even and outsource analysisBreak even and outsource analysis
Break even and outsource analysis
 
How to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - IntroductionHow to set up a Graphical Method Linear Programming Problem - Introduction
How to set up a Graphical Method Linear Programming Problem - Introduction
 
Integrating Social Media into the Classroom, VSC Presentation
Integrating Social Media into the Classroom, VSC PresentationIntegrating Social Media into the Classroom, VSC Presentation
Integrating Social Media into the Classroom, VSC Presentation
 
Students' expectations of the use of social media in the classroom
Students' expectations of the use of social media in the classroomStudents' expectations of the use of social media in the classroom
Students' expectations of the use of social media in the classroom
 
The influence of permission marketing final version
The influence of permission marketing final versionThe influence of permission marketing final version
The influence of permission marketing final version
 

Recently uploaded

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.MateoGardella
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfChris Hunter
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Gardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterGardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterMateoGardella
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 

Recently uploaded (20)

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.Gardella_Mateo_IntellectualProperty.pdf.
Gardella_Mateo_IntellectualProperty.pdf.
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Gardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterGardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch Letter
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 

Simplex part 3 of 4

  • 1. Simplex Part 3 of 4 Professor Ed Dansereau
  • 2. 3. Test for Optimality To check to determine if the current extreme point is the optimal solution is a simple interpretation of the Net Eval row. ● For a Maximization problem ○ All numbers in the Net Eval row must be Greater or Equal than zero ● For a Minimization problem ○ All numbers in the Net Eval row must be Less than or Equal to zero
  • 3. 3. Test for Optimality Our example we want to maximize profit For a Max problem the net eval row must be <= 0 for an optimal solution We do not have an optimal solution. Net Eval 250 400 0 0 0
  • 4. 4. Identify Entering & Leaving Variables To move to the next extreme point, we must identify which variable will move into the basis and which will leave. We start by identifying the Entering Variable by looking at the Net Evaluation row. For a Maximization problem (Zmax) Choose the number that has the largest positive value, the farthest from zero. For a Minimization problem (Zmin) Choose the number that has the largest negative value, the farthest from zero. The column of the entering variable is referred to as the Pivot Column.
  • 5. 4. Identify Entering & Leaving Variables Initial Tableau 250 400 0 0 0 Basis C X1 X2 S1 S2 S3 Q S1 0 2.5 3 1 0 0 30 S2 0 8 4 0 1 0 80 S3 0 2 6 0 0 1 48 Z row 0 0 0 0 0 0 Net Eval 250 400 0 0 0 X2 is the entering variable because it is the most positive
  • 6. 4. Identify Entering & Leaving Variables The number of values in the basis can not change. To add the entering variable, we must take one away, the leaving variable. To find the leaving variable For each variable in the basis, divide the Q by the sub.rate of the pivot column. Of the numbers generate select the smallest positive Q/(sub.rate). Negative and undefined numbers may not be selected. An undefined number is any number divided by zero, 48/0 = undefined.
  • 7. 4. Identify Entering & Leaving Variables The Leaving Variable is S3 because it has the smallest positive Q/(sub.rate) 250 400 0 0 0 Basis C X1 X2 S1 S2 S3 Q Q/(Sub.rate) S1 0 2.5 3 1 0 0 30 30/3 = 10 S2 0 8 4 0 1 0 80 80/4 = 20 S3 0 2 6 0 0 1 48 48/6 = 8 Z row 0 0 0 0 0 0 Net Eval 250 400 0 0 0 Leaving Variable