GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MODELING AND CONTROL OF FLEXIBLE MANUFACTURING SYSTEMS/5621310
Course Title: MODELING AND CONTROL OF FLEXIBLE MANUFACTURING SYSTEMS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Mustafa YURDAKUL
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/yurdakul/AnaSayfa&Lisan=Tr, http://w3.gazi.edu.tr/~yurdakul/
 -- EMAIL(S) OF LECTURER(S)
  yurdakul@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Understanding the workings of the flexible manufacturing systems; getting familiar and learning the modeling and control techniques used in the FMS.








 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  An introduction to flexible manufacturing systems (FMS): definitions, characteristics and types of FMS, examples
2. Week  An introduction to flexible manufacturing systems (FMS): definitions, characteristics and types of FMS, examples
3. Week  A detailed analysis of flexibility and performance issues
4. Week  A detailed analysis of flexibility and performance issues
5. Week  Flexible manufacturing system as discrete event dynamic systems (DEDS)
6. Week  Models used to represent TMS and DEDS: petri nets, min max algebra approach, markov chain, finite state machine approach
7. Week  Models used to represent TMS and DEDS: petri nets, min max algebra approach, markov chain, finite state machine approach
8. Week  Models used to represent TMS and DEDS: petri nets, min max algebra approach, markov chain, finite state machine approach
9. Week  Simulation models. More emphasis will be given to petri-net and min max approaches, comparison of modeling techniques
10. Week  Simulation models. More emphasis will be given to petri-net and min max approaches, comparison of modeling techniques
11. Week  Control of FMS, control architectures, decomposition and coordination issues
12. Week  Control of FMS, control architectures, decomposition and coordination issues
13. Week  Disturbance and necessary corrective control actions
14. Week  Real time scheduling methodologies
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  1. Groover, M. P. (2001). Automation, Production Systems, and Computer Integrated Manufacturıng Upper Saddle River: Prentice Hall. 2. Zhou, M. C. And K. Venkatesh (1999). Modeling, simulation, and control of flexible manufacturing systems : a Petri net approach World Scientific: River Edge, N.J.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
2
50
 Assignment
5
10
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
4
3
12
 Reading
8
4
32
 Searching in Internet and Library
4
2
8
 Designing and Applying Materials
6
2
12
 Preparing Reports
8
4
32
 Preparing Presentation
2
3
6
 Presentation
2
2
4
 Mid-Term and Studying for Mid-Term
4
5
20
 Final and Studying for Final
2
4
8
 Other
0
 TOTAL WORKLOAD: 
176
 TOTAL WORKLOAD / 25: 
7.04
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of studyX
2Ability to complete and implement “limited or incomplete data” by using the scientific methods.X
3Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to themX
4Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or processX
5Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6Ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply processX
7Gain high level ability to define the required information and dataX
8Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situationsX
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
11Aware of new and developing application of profession and ability to analyze and study on those applicationsX
12Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment