İŞL372

School of Economics and Administrative Sciences \ Business Administration

3

6

Compulsory

English

-

Management

This course teaches how to create, solve, and analyze quantitative decision-making models in different situations faced by managers in the public and private sectors.

1. Taylor, BW, Introduction to Management Science, 11th edition, Pearson, 2013.
2. Winston, W, Operations Research, 3rd edition, Duxbury, 1994.
3. IBM ILOG and MS Excel

The aim of this course is to develop the skills to create, solve, and analyze quantitative decision-making models for management decisions in businesses. By learning quantitative analysis methods used in decision-making processes, students will gain the competence to recognize business problems from this perspective and generate effective and efficient solutions to these problems.

1. Recognizes quantitative decision-making tools for businesses and uses appropriate tools for sustainable solutions based on the type of problem.
2. Makes assumptions, analyzes and interprets data, and creates quantitative decision-making models to achieve the best outcome under single or multiple objectives and various constraints, in order to maximize value from business strategies.
3. Solves and analyzes quantitative decision-making models using information technologies.
4. Analyzes the best solution according to changes in the business environment and markets, evaluates the results, and applies.
5. Understand the concepts of operations research in English and can use the English language in this field.

Week 1: Introduction to Operations Research
Week 2: Linear Programming
Week 3: Sensitivity Analysis
Week 4: Linear Programming Applications
Week 5: Linear Programming Applications
Week 6: Integer Programming
Week 7: Integer Programming
Week 8: Network Problems
Week 9: Network Problems
Week 10: Multi-Criteria Decision Making Methods
Week 11: Simulation Models
Week 12: Simulation Models

• Midterm % 30
• Final % 40
• Homework and Quiz % 15
• Project % 15