GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ASSEMBLY LINES/IE482
Course Title: ASSEMBLY LINES
Credits 3 ECTS 4
Course Semester 8 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To give detail informations about assembly lines in manufacturing and service systems
To get an ability for solving the problems encountered in assembly lines designed in various types in production systems
To teach some methods used in solving various assembly line balancing problems
 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  PRODUCTION SYSTEMS AND ASSEMBLY LINES: Job-shop, Batch production, Mass production, Transfer lines, Assembly lines, Terminology and definitions.
2. Week  ASSEMBLY LINE BALANCING PROBLEM: Pre-Computations for assembly line balancing (ALB), Classification of ALB problems, Complexity in the problems.
3. Week  SINGLE MODEL DETERMINISTIC ASSEMBLY LINE BALANCING PROBLEM, HEURISTIC METHODS: Kilbridge and Wester Method, COMSOAL Method.
4. Week   SINGLE MODEL DETERMINISTIC ASSEMBLY LINE BALANCING PROBLEM, HEURISTIC METHODS: RPWT Method,Largest set rule
5. Week  SINGLE MODEL DETERMINISTIC ASSEMBLY LINE BALANCING PROBLEM, OPTIMAL METHODS: Integer programming model, Shortest route model, Goal programming model.
6. Week  SINGLE MODEL STOCHASTIC ASSEMBLY LINE BALANCING PROBLEM: General definitions related to stochastic ALB problem, Cost based balancing
7. Week  MULTI MODEL DETERMINISTIC ASSEMBLY LINE BALANCING PROBLEM: General definitions related to multi model ALB problem, Model sequencing methods
8. Week  MIDTERM EXAM I
9. Week  MIXED MODEL DETERMINISTIC ALB PROBLEM,HEURISTIC AND OPTIMAL METHODS: mixed model assembly lines,a heuristic,integer prog. model, model sequencing.
10. Week  MIXED MODEL DETERMINISTIC ALB PROBLEM,HEURISTIC AND OPTIMAL METHODS: model sequencing.
11. Week  U-TYPE ASSEMBLY LINES, U-TYPE ALB PROBLEM, HEURISTIC AND OPTIMAL METHODS:Terminology and definitions,U-Type ALB problem,U-COMSOAL method,U-RPWT method
12. Week  U-TYPE ASSEMBLY LINE BALANCING PROBLEM, HEURISTIC AND OPTIMAL METHODS: Integer programming model,Shortest route model.
13. Week  PARALLEL ASSEMBLY LINE BALANCING PROBLEM,HEURISTIC AND OPTIMAL METHODS: Parallel assembly lines, Integer programming model,Parallel COMSOAL Heuristic
14. Week  TWO-SIDED ASSEMBLY LINE BALANCING: A heuristic (Lee et all, 2001)
15. Week  COST ORIENTED ASSEMBLY LINE BALANCING:Definitions, mathematical model and a heuristic method.
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
2
4
8
 Searching in Internet and Library
2
4
8
 Material Design and Implementation
2
1
2
 Report Preparing
1
10
10
 Preparing a Presentation
1
10
10
 Presentation
1
4
4
 Midterm Exam and Preperation for Midterm Exam
1
6
6
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purposeX
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose...X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectivelyX
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intradisciplinary and multi-disciplinary teams; ability to work individuallyX
7Ability to communicate effectively in Turkish, both orally and in writing knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructionsX
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herselfX
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable developmentX
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .X
 -- NAME OF LECTURER(S)
   (Prof.Dr. Hadi GÖKÇEN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/hgokcen http://w3.gazi.edu.tr/~hgokcen/ )
 -- EMAIL(S) OF LECTURER(S)
   (hgokcen@gazi.edu.tr)