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INTRODUCTION OF
GAMS SOFTWARE
By Saied Abbasi Parizi
OUTLINE
• About lecturer
• Introduction of GAMS
• Necessity of GAMS
• MODEL STRUCTURE
• Sample code
• Course contents
ABOUT LECTURER
Education
M.Sc.: Industrial Engineering, Amirkabir University of Technology
(Tehran Polytechnic), Iran (2011 to 2013)
Dissertation Title: Hub location problem based on nondeterministic
network characteristics
Supervisor: Dr. Aminnayeri
Advisor: Dr. Bashiri
B.Sc.: Industrial Engineering (Industrial Technology), Islamic Azad
University of Kerman, Iran (2005 to 2009)
Dissertation Title: Qualitative study of the causes of failure in the fiber
structure using control charts, case study: Rafsanjani fiber plant
Industrial Complex
4
Publications
1- “A Bender’s Decomposition Algorithm for Multi-Objective Hub Location Problem
Considering Stochastic Characteristics”
- Journal of Industrial Engineering (JIENG), PSST 2014; Tehran; Iran. [http://jieng.ut.ac.ir/]
2- “A Bender’s Decomposition Algorithm for Multi-Objective Stochastic Fuzzy Hub
Location Problem”
- 13th Iranian Conference on Fuzzy Systems (IFSC), PSST 2013; Ghazvin; Iran.
[http://www.ifsc2013.ir/]
3- A book on subject of “Industrial Engineering and a Selection of Master Entrance
Exam Tests with Solution Key Points”
- Under Publication
Publications in press
1- “Robust Solution for a Min-max Regret Multi-Objective Hub Location Problem
Based on Bender’s Decomposition in A Fuzzy Stochastic Environment”
- Submitted to Computer and Operation Researches (COR-Indexed ISI).
[http://www.journals.elsevier.com/computers-and-operations-research/]
5
Research Interests
 Hub Location Problems
 Supply Chain Management
 Stochastic Optimization
 Robust Optimization
 Combinatorial Optimization
 Mathematical Modeling
 Linear Programing
6
Work Experiences
 Educational Advisor in Binesh institution (2010-2012)
 Present the GAMS commercial software in Shahed University (2013-2014)
 Present the Bender’s decomposition method in Shahed University (2013-2014)
 Manager of public relations in industrial engineering scientific association of
Islamic Azad University of Kerman(2005-2009)
 Project member in evaluation of copper rod production line and provision of
practical solutions for productivity improvement based on motion and job study -
Rafsanjan Copper plant Industrial Complex(2006-2007)
Honors & Awards
 Top student - the undergraduate course on Islamic Azad University, Kerman
 Top rank in National Iranian Cooper Industries Company employment exam
 Receiving annual scientific award for 2008-DISA of Islamic Azad University of
Kerman
7
INTRODUCTION
OF
GAMS
The Most Important Features of GAMS
• Capability to solve from small scale to large scale problems with small code by
means of the use of index to write blocks of similar constraints from only one
constraint.
• The model is independent from the solution method, and it can be solved by
different solutions methods by only changing the solver.
8
NECESSITY OF
GAMS
9
MODEL STRUCTURE
10
SAMPLE CODE
11
 Set, Multidimensional set, Sub set, Dynamic set
 Scalar, Parameter, Table, Data entry by direct assignment
 Reserved words, Functions, Different variable types, Bound definition for variables
 Equations, Conditional equations, Generating a feasible solution for equation system
 Model, Solve statements
 Display, Set solver type, Reduce outputs
 Sample cod
 Options, Operator, For-Loop-While-If-If Else-Repeat functions, Dollar control options
 GAMS output, Sorting output
 Model status, Solver status, Errors description
 Infeasibility model recognition
 Link between GAMS and other software
 Hub location problem
 Supply chain problem
 DEA problem
COURSE CONTENTS
• Question?

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Introduction of GAMS Software

  • 1. INTRODUCTION OF GAMS SOFTWARE By Saied Abbasi Parizi
  • 2. OUTLINE • About lecturer • Introduction of GAMS • Necessity of GAMS • MODEL STRUCTURE • Sample code • Course contents
  • 3. ABOUT LECTURER Education M.Sc.: Industrial Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran (2011 to 2013) Dissertation Title: Hub location problem based on nondeterministic network characteristics Supervisor: Dr. Aminnayeri Advisor: Dr. Bashiri B.Sc.: Industrial Engineering (Industrial Technology), Islamic Azad University of Kerman, Iran (2005 to 2009) Dissertation Title: Qualitative study of the causes of failure in the fiber structure using control charts, case study: Rafsanjani fiber plant Industrial Complex
  • 4. 4 Publications 1- “A Bender’s Decomposition Algorithm for Multi-Objective Hub Location Problem Considering Stochastic Characteristics” - Journal of Industrial Engineering (JIENG), PSST 2014; Tehran; Iran. [http://jieng.ut.ac.ir/] 2- “A Bender’s Decomposition Algorithm for Multi-Objective Stochastic Fuzzy Hub Location Problem” - 13th Iranian Conference on Fuzzy Systems (IFSC), PSST 2013; Ghazvin; Iran. [http://www.ifsc2013.ir/] 3- A book on subject of “Industrial Engineering and a Selection of Master Entrance Exam Tests with Solution Key Points” - Under Publication Publications in press 1- “Robust Solution for a Min-max Regret Multi-Objective Hub Location Problem Based on Bender’s Decomposition in A Fuzzy Stochastic Environment” - Submitted to Computer and Operation Researches (COR-Indexed ISI). [http://www.journals.elsevier.com/computers-and-operations-research/]
  • 5. 5 Research Interests  Hub Location Problems  Supply Chain Management  Stochastic Optimization  Robust Optimization  Combinatorial Optimization  Mathematical Modeling  Linear Programing
  • 6. 6 Work Experiences  Educational Advisor in Binesh institution (2010-2012)  Present the GAMS commercial software in Shahed University (2013-2014)  Present the Bender’s decomposition method in Shahed University (2013-2014)  Manager of public relations in industrial engineering scientific association of Islamic Azad University of Kerman(2005-2009)  Project member in evaluation of copper rod production line and provision of practical solutions for productivity improvement based on motion and job study - Rafsanjan Copper plant Industrial Complex(2006-2007) Honors & Awards  Top student - the undergraduate course on Islamic Azad University, Kerman  Top rank in National Iranian Cooper Industries Company employment exam  Receiving annual scientific award for 2008-DISA of Islamic Azad University of Kerman
  • 7. 7 INTRODUCTION OF GAMS The Most Important Features of GAMS • Capability to solve from small scale to large scale problems with small code by means of the use of index to write blocks of similar constraints from only one constraint. • The model is independent from the solution method, and it can be solved by different solutions methods by only changing the solver.
  • 11. 11  Set, Multidimensional set, Sub set, Dynamic set  Scalar, Parameter, Table, Data entry by direct assignment  Reserved words, Functions, Different variable types, Bound definition for variables  Equations, Conditional equations, Generating a feasible solution for equation system  Model, Solve statements  Display, Set solver type, Reduce outputs  Sample cod  Options, Operator, For-Loop-While-If-If Else-Repeat functions, Dollar control options  GAMS output, Sorting output  Model status, Solver status, Errors description  Infeasibility model recognition  Link between GAMS and other software  Hub location problem  Supply chain problem  DEA problem COURSE CONTENTS