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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc.
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01END5118
Advanced Production Planning and Control
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. H.Ýbrahim KORUCA
Course Instructors
3-H. Ýbrahim Koruca
Course Assistants
 
Course Aims
By using different techniques able to make demand forecasting, aggregate production plan to prepare,
Material requirements planning can do, can do inventory control,
Production systems class, able to set up mathematical models, products, processes and services can make the design,
Production system operations with the relationship between knowledge and automation technology can establish,
Services and manufacturing operations scheduling, can compensate for manufacturing lines, can bring problems for the proposed,
Efficient use of resources make a business and its relationship with other businesses can solve.
Course Goals
To introduce students to all the functions of manufacturing enterprises, production systems that can manage the ability to give students,
To this aim, production systems can establish the mathematical model and the basic components of this system to plan, production of the components of the system to work efficiently and effectively able to make necessary studies and production system control mechanism and other systems can be designed with the ability to analyze the relationship between students to earn.
Learning Outcomes of The Course Unit
technical-technological projects in the light of the methods most appropriate in terms of cost-profit and be able to select and implement as well as to prepare feasibility report is to be able to provide.....
Course Contents
Demand Forecasting, Integrated Production Planning, Material Requirement Planning, Inventory Control, Project Management processes to make, Production and classification of manufacturing systems, products, services and process design, mathematical model-building, production system design, performance and productivity measurement, evaluation, and efficient use of resources to be effective, scheduling and assignment processes.
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
4
56
Homework
0
0
Homeworks
6
3
18
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
20
20
Seminary
0
0
Finals
1
30
30
Field study
0
0
Workload Hour (30)
30
TOTAL
50
Total Work Charge / Hour
166
The ratio of the term to success
50
Course's ECTS Credit
6
The ratio of final to success
50
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Lecture Notes
Additional Resources
 
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods.
5