Industrial Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: ISE033
Course Name: Operations Research Modeling Applications
Semester: Spring
Fall
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Doç. Dr. SALİHA KARADAYI USTA
Course Lecturer(s): Dr. Öğr. Üy. EMRE ÇAKMAK
Course Assistants:

Course Objective and Content

Course Objectives: This course aims to provide necessary information for mathematical optimization and its applications. It also aims to teach students how to use AMPL, a mathematical modeling language, for solving mathematical programming problems.
Course Content: An elective course which covers applications of operations research (OR) with a focus on mathematical optimization. Topics include but not limited to: Linear Programming, the Simplex Method, mathematical modeling using AMPL, and advanced features of AMPL.

Learning Outcomes

The students who have succeeded in this course;
1) To identify whether a given problem can be formulated as a linear program
2) To formulate a given optimization problem as a linear program
3) To solve a given linear optimization problem using the Simplex method
4) To be able to solve small-sized optimization problems using AMPL
5) To have a brief knowledge of applications of operations research

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Optimization
2) Linear Programming
3) Linear Programming
4) Simplex Method
5) Simplex Method
6) Introduction to AMPL
7) Production Models using AMPL: Maximizing profits
8) Midterm Exam
9) Diets, Blending, and Scheduling Models using AMPL: Minimizing costs
10) Transportation, Assignment, and Minimum-Cost Flow Models using AMPL
11) Multicommodity and multiperiod models using AMPL
12) Simple Sets and Indexing in AMPL
13) Specifying Data in AMPL
14) Network Linear Programs using AMPL

Sources

Course Notes / Textbooks: AMPL: A Modeling Language for Mathematical Programming by Robert Fourer, David M. Gay, and Brian W. Kernighan, Second edition

References: Frederik S. Hillier, Gerald J. Lieberman, Introduction to Operations Research, McGraw Hill

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 3 3 2 3 3
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. 3 3 2 2 2
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. 3 3 2 2 2
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 3
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. 2
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. 3
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 13 0 3 39
Study Hours Out of Class 13 0 1 13
Homework Assignments 4 0 10 40
Midterms 1 8 2 10
Final 1 18 2 20
Total Workload 122