POM602 - PRODUCTION and OPERATIONS ANALYSIS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
PRODUCTION and OPERATIONS ANALYSIS POM602 2nd Semester 3 0 3 6
PrequisitesNone
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Problem Solving
 
Instructor (s)Department Members 
Course objectiveThis course aims to make students familiar with potential problems in a production environment, teach (statistics, optimization or simulation based) quantitative analysis methods in order to tackle these problems and give the student insight as to how the outcomes of these analysis should be utilized in decision making.  
Learning outcomes
  1. Average student; is able to define possible problems in a production environment.
  2. Has knowledge on potential problems which may occur.
  3. Can solve these problems via mathematical models.
  4. Has the knowledge to provide company policies and action plans based on the outcomes of such analysis.
Course ContentAchieving mathematical analysis capabilities for main production issues such as demand forecasting, inventory management, aggregate planning and requirements planning, operations and project scheduling. 
References- Nahmias, S. (2015). Production and Operations Analysis (7th ed.), McGraw Hill, New York. 

Course outline weekly

WeeksTopics
Week 1Introduction, Strategy and Competition
Week 2Stationary demand forecasting
Week 3Adaptive demand forecasting
Week 4Inventory control - Deterministic stationary demand (EOQ, POQ and discounts)
Week 5Inventory control - Deterministic nonstationary demand (Lot sizing and line balancing)
Week 6Deterministic Dynamic Programming
Week 7Stochastic Dynamic Programming
Week 8Midterm
Week 9Aggregate planning
Week 10MRP and JIT
Week 11Operations Scheduling
Week 12Project Scheduling (CPM and PERT)
Week 13Service Operations Scheduling
Week 14Queue models
Week 15Review
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance
Laboratory
Application
Field activities
Specific practical training
Assignments
Presentation
Project
Seminar
Midterms
Final exam
Total
Percentage of semester activities contributing grade succes
Percentage of final exam contributing grade succes
Total

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 0
Laboratory 0
Application0
Specific practical training0
Field activities0
Study Hours Out of Class (Preliminary work, reinforcement, ect)0
Presentation / Seminar Preparation0
Project0
Homework assignment0
Midterms (Study duration)0
Final Exam (Study duration) 0
Total Workload000

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Conducts novel and ethical research on business, reports outcomes in a critical manner.  X  
2. Solves problems via appropriate softwares, adapts to new methods and software.   X 
3. Has managerial and leadership skills to identify problems, objectives and strategic plans for organizational progress with a critical point of view.    X
4. Plays an active role in projects, analyses relationship between stakeholders accurately, motivates and manages all stakeholders through effective language skills.  X  
5. Has necessary communication skills to manage verbal and written communication.   X 
6. Analyses and uses contemporary and advanced knowledge in relation with information from different areas.    X
7. Progresses continuously and transfers the experience in both written and verbal ways.   X 
8. Through anticipation and strategic thinking, plays an active role in organizational decision making process.    X
9. Uses knowledge in consistency with the ethical, social and international values in an unbiased manner.   X 
10. Has expertise on the multi-disciplinary nature of management and related fields.  X  
11. Approaches problems with a wide strategic perspective, self-develops continuously.    X
12. Shares novel studies, is up to date both in knowledge and personal network.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest