ENM5303 Operations ManagementBahçeşehir UniversityDegree Programs ENGINEERING MANAGEMENT (ENGLISH, NON-THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ENGINEERING MANAGEMENT (ENGLISH, NON-THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ENM5303 Operations Management Spring 3 0 3 8

Basic information

Language of instruction: English
Type of course: Must Course
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. GÜL TEKİN TEMUR ASLAN
Course Lecturer(s): Prof. Dr. MUSTAFA ÖZBAYRAK
Dr. Öğr. Üyesi YÜCEL BATU SALMAN
Recommended Optional Program Components: None
Course Objectives: Aim of the course is to show the students how to create a competitive advantage through OM in the marketplace by conveying a set of skills and tools they can actually apply.

Learning Outcomes

The students who have succeeded in this course;
• Discussing and developing a production strategy
• Forecasting the demand and identify the elements of the demand
• Identify the winning product/service characteristics
• Define the quality for a product/service
• Identify the different capacity management strategies
• Defining and managing the inventory
• Differentiate the different production management approaches such as lean vs. MRP
• Scheduling operations

Course Content

Operations management (OM) is the core discipline area that underpins the day-to-day running of any enterprise. This course in OM focuses on the interrelationships between systems, service and technical factors, product quality, capacity and productivity.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to OM
2) Operations Strategy and Competitiveness
3) Demand Management
4) Forecasting Models
5) Product & Service Design and Reliability
6) Process design: Learning effect and learning curves
7) Quality Management
8) Review, midterm
9) Aggregate Planning
10) Capacity Planning
11) Inventory Management
12) MRP-ERP
13) Lean production and SCM
14) Term project presentations

Sources

Course Notes / Textbooks: W.J. Stevenson (2012): Operations Management, 11th Ed., McGraw Hill.
Bayraktar, E. (2007): Üretim ve Hizmet Süreçlerinin Yönetimi, Çağlayan Kitabevi
References: Nahmias, S. (2009): Production and Operations Analysis, 6th Ed., McGraw-Hill.
Jacobs, F.R. and Chase,R.B. (2011): Operations and Supply Chain Management, 13rd Ed., McGraw Hill.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 1 % 20
Midterms 1 % 30
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 30
PERCENTAGE OF FINAL WORK % 70
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 5 70
Project 1 40 40
Midterms 1 20 20
Final 1 20 20
Total Workload 192

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To be process oriented
2) To integrate technical specifications with management functions
3) To improve management skills by taking into account the economic, social and environmental conditions
4) To launch fast and agile decision-making process
5) To lead disciplinary and multi-disciplinary teams, to develop solution approaches in complex situations, to work individually and to take responsibility.
6) To have conscious of professional and ethical responsibility
7) To be aware of economic and legal implications of engineering solutions
8) To have ability of selection and efficient use of modern techniques, equipments and information technologies for engineering management
9) To have verbal and oral effective communication skills by using visual methods in Turkish and English
10) To have conscious of necessity to lifelong learning
11) To be aware of entrepreneurship, sustainability and innovation
12) To be capable of designing and conducting experiments and collecting data, analyzing and interpreting results