Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
IND 5035	PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS	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

ASSISTANT PROFESSOR SEREN ÖZMEHMET TAŞAN

Offered to

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

Course Objective

This course aims to enable students to use stochastic processes and Markov Chains in modeling and analysis of manufacturing systems.

Learning Outcomes of the Course Unit

1	Describe the basics of stochastic processes
2	Demonstrate the difficulties of analytical modelling in real world manufacturing systems
3	Analyse a manufacturing system in transition state
4	Analyse a manufacturing system steady state
5	Analyse transfer lines, assembly/disassembly systems, real time scheduling models
6	Discuss their applicability

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Probability Spaces and Random Variables
2	Probability Spaces and Random Variables
3	Markov chains
4	Transfer lines in manufacturing systems
5	Models and boundaries for transfer lines
6	Deterministic transfer model
7	Stockastic transfer modes
8	Stokastic transfer models
9	Stokastic transfer models
10	Assembly/disassembly models
11	Real time scheduling models
12	Project Presentations
13	Project Presentations
14	Project Presentations

Recomended or Required Reading

C. Cassandras and S. Lafortune, Introduction to Discrete Event Systems, Springer, 2007
S.B. Gershwin, Manufacturing Systems Engineering, Prentice Hall, 1994.
M. Puterman, Markov decision processes, John Wiley & Sons, 1994
D.P. Bertsekas, Dynamic Programming, Prentice Hall, 1987
J. Li and S.M. Meerkov, Production Systems Engineering, WingSpan PRESS, 2008
E. Çınlar, Introduction to Stochastic Processes, Prentice-Hall, 1975
N. Viswanadham and Y. Narahari, Performance Modeling of Automated Manufacturing Systems, Prentice Hall, 1992

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend both the lecture hours and take part in the discussion sessions. Besides the taught lecture, group presentations are to be prepared by the groups.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	ASG	ASSIGNMENT
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE * 0.20 + ASG * 0.20 + FIN * 0.60
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.20 + ASG * 0.20 + RST * 0.60

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

Further Notes About Assessment Methods

None

Assessment Criteria

Mid Term (%20) + Assignment (%20) + Final (%60)

Language of Instruction

English

Course Policies and Rules

To be announced

Contact Details for the Lecturer(s)

Asst. Prof.Dr. Seren OZMEHMET TAŞAN
seren.ozmehmet@deu.edu.tr

Office Hours

To be announced

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	12	3	36
Preparation before/after weekly lectures	12	3	36
Preparing Individual Assignments	1	10	10
Preparing presentations	1	40	40
Office hours	12	3	36
Preparation for midterm exam	1	20	20
Preparation for Final Exam	1	18	18
Final Assignment	1	2	2
Project Assignment	1	2	2
TOTAL WORKLOAD (hours)			200

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
LO.1	4			3			3	4		5
LO.2		3	4			4			3
LO.3	5			4	3			4		3
LO.4		3	4			4			3
LO.5		3		4		3		4		5
LO.6	5	5	5	5	5	5	5	5	5	5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION