COURSE UNIT TITLE

: MODELING AND ANALYSIS OF GENERALIZED ASSEMBLY LINES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 5047 MODELING AND ANALYSIS OF GENERALIZED ASSEMBLY LINES ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ADIL BAYKASOĞLU

Offered to

INDUSTRIAL ENGINEERING (ENGLISH)
Industrial Engineering - Thesis (English) (Evening Program)
INDUSTRIAL ENGINEERING (ENGLISH)
INDUSTRIAL ENGINEERING - NON THESIS (ENGLISH)
INDUSTRIAL ENGINEERING - NON THESIS (EVENING PROGRAM) (ENGLISH)

Course Objective

Assembly lines are special flow-line production systems which are typical in the industrial production of high quantity standardized commodities. Because of very different conditions in industrial manufacturing, there occurs a large number of different assembly line balancing problems. The aim of this course is to introduce the fundamental types of assembly lines as well as their extensions. Moreover, students will get familiar to exact and heuristic solution approaches for various types of assembly line balancing problems.

Learning Outcomes of the Course Unit

1   To make the students aware of the assembly line balancing problems that arise in manufacturing environment
2   To develop the students' analytical abilities in solving the assembly line balancing problems
3   To make the students develop specific heuristics to solve the assembly line balancing problems
4   To develop the students' skills in conducting empirical research on assembly line balancing problems and in making oral presentations

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction and Classification of Assembly Line Balancing Problems
2 Single-Model, Mixed-Model and Multi-Model Assembly Lines
3 Worker Assignment in Assembly Lines - Mathematical Models
4 Worker Assignment in Assembly Lines - Heuristic Approaches
5 Ergonomic Aspects in Assembly Lines - Mathematical Models
6 Ergonomic Aspects in Assembly Lines - Heuristic Approaches
7 Assembly Lines under Uncertainty
8 Generalized Assembly Lines - One and Two Sided Lines
9 Generalized Assembly Lines - U-Type Lines
10 Robotic Assembly Lines
11 Midterm
12 Project Presentations
13 Project Presentations
14 Project Presentations

Recomended or Required Reading

Textbook(s) and References:
* Scholl, A. (1999). Balancing and sequencing of assembly lines (2nd ed.).Heidelberg:
* Physica-Verlag.
* Rekiek, B., & Delchambre, A. (2006). Assembly line design: the balancing of mixed-model hybrid assembly lines with genetic algorithms. Springer Science & Business Media.
* Groover, M. P., & Groover, M. P. (2012). Introduction to manufacturing processes. Wiley.
* N.T. Thomopoulos. Assembly Line Planning and Control, Springer International Publishing, 2014, ISBN: 978-3-319-01398-5

Planned Learning Activities and Teaching Methods

Course notes given on board or visual presentations, in-class debates, assignments, article presentations, project preparations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 QUZ QUIZ
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.30 + QUZ * 0.10 + ASG * 0.10 + FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.30 + QUZ * 0.10 + ASG * 0.10 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm exam (30%) + Assignments (15%) + Projects (15%) + Final exam (40%)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Asst. Prof. Dr. Şebnem DEMIRKOL AKYOL sebnem.demirkol@deu.edu.tr

Office Hours

To be declared

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 6 78
Preparation for midterm exam 1 20 20
Preparation for final exam 1 25 25
Preparing assignments 1 25 25
Preparing presentations 1 10 10
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 201

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.14554
LO.2543
LO.3534
LO.455