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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ELECTIVE

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR GÖKALP YILDIZ

Offered to

Industrial Engineering

Course Objective

The objective of this course is to introduce students demand forecasting, capacity planning, aggregate production planning, material requirements planning and scheduling concepts and techniques in the production planning and control field.

Learning Outcomes of the Course Unit

1   To be able to define push and pull systems 2   To be able to explain the functioning of the MRP system 3   To be able to introduce discrete demand systems 4   To be able to solve scheduling problems 5   To be able to solve assembly line balancing problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 Pull Systems 3 Pull Systems / MRP (1) 4 MRP (2) 5 MRP (3) 6 Discrete Demand Systems / Lot Sizing (1) 7 Lot Sizing (2) 8 Scheduling (1) 9 Scheduling (2) 10 Scheduling (3) 11 Midterm 12 Assembly Line Balancing (1) 13 Assembly Line Balancing (2) 14 Assembly Line Balancing (3)

Recomended or Required Reading

Nahmias, Steven, 2009 (6e), Production and Operations Analysis, Mc. Graw-Hill, Inc.

Planned Learning Activities and Teaching Methods

Instructor notes will be given using blackboard and visual presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 1 14 Preparation for midterm exam 1 30 30 Preparation for final exam 1 30 30 Preparing assignments 0 0 0 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 120

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 LO.1 5 LO.2 4 LO.3 5 5 3 LO.4 5 LO.5 5