Production Management (MAN311) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Production Management MAN311 Elective Courses 3 0 0 3 6
Pre-requisite Course(s)
Course Language English
Course Type General Elective Courses (Group C)
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Pınar Kaya Samut
Course Assistants
Course Objectives Production management is a process of planning, organizing, directing and controlling the activities of the production function. It combines and transforms various resources used in the production subsystem of the organization into value added product in a controlled manner as per the policies of the organization.
Course Learning Outcomes The students who succeeded in this course;
  • To analyze production systems and components and make managerial decisions
  • Making decisions by realizing demand forecasting with the help of quantitative methods
Course Content Operation strategy, product and service design, production and inventory management, quality management and quality control.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Operations Management Heizer, J. , Render, B. part 1.1.
2 Operations Strategy and Production Systems Heizer, J. , Render, B. part 1.2.
3 Productivity and Performance / Performance Evaluation Methods Heizer, J. , Render, B. part 1.3-4
4 Cost models in Operations Management Heizer, J. , Render, B. part 2.7.
5 Decision making in Operations Management Heizer, J. , Render, B. part 4.A
6 Simulation in Operations Management/ Applications Heizer, J. , Render, B. part 5.A
7 Simulation applications in Excel
8 Mid-term exam
9 Queuing or Waiting Line Analysis Heizer, J. , Render, B. part 4.D
10 Demand Forecasting ( Time Series Analysis 1) Heizer, J. , Render, B. part 1.4 Chase, R.B., Aquilano, N.J., Jacobs, F.R. part 4-12
11 Demand Forecasting ( Time Series Analysis 2) Heizer, J. , Render, B. part 1.4 Chase, R.B., Aquilano, N.J., Jacobs, F.R. part 4-12
12 Demand Forecasting (Regression Analysis) Heizer, J. , Render, B. part 4
13 Application of Demand Forecating Models in Excel .
14 Quality Management and quality control Heizer, J. , Render, B. part 2-6
15 presentations
16 Final exam


Course Book 1. Heizer, J. , Render, B. (2011), Operations Management, Prentice-Hall, 10th edition.
2. Chase, R.B., Aquilano, N.J., Jacobs, F.R. (2006), Operations Management For Competititive Advantage, McGraw Hill-Irwin; 11th edition
Other Sources 3. Top, Aykut ve Yılmaz,ü Erdal (2013) Üretim Yönetimi, İdeal Kültür Yayıncılık, İstanbul
4. Üreten, Sevinç (2013) Üretim / İşlemler Yönetimi – Stratejik Kararlar ve Karar Modelleri, Gazi Kitabevi, Ankara
5. Kobu, Bülent (2013) Üretim Yönetimi, Beta Basım Yayım, İstanbul

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 1 10
Presentation 1 10
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 40
Toplam 4 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering
2 An ability to design and conduct experiments, as well as to analyze and interpret data
3 An ability to design a system, component, or process to meet desired needs
4 An ability to function on multi-disciplinary teams
5 An ability to identify, formulate and solve engineering problems
6 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
7 An understanding of professional and ethical responsibility
8 An ability to communicate effectively
9 An understanding the impact of engineering solutions in a global and societal context and recognition of the responsibilities for social problems
10 A knowledge of contemporary engineering issues
11 Skills in project management and recognition of international standards and methodologies
12 Recognition of the need for, and an ability to engage in life-long learning

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration 1 15 15
Homework Assignments 1 15 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 30 30
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 138