GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SEQUENCING AND SCHEDULING/5331307
Course Title: SEQUENCING AND SCHEDULING
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To get an ability for determining of the scheduling problems occurred in manufacturing and service industries and implementing appropriate techniques

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  INTRODUCTION: Model Characteristics; Overview of models, notation, machine configurations, processing characteristics and constraints, objectives and
2. Week  INTRODUCTION: Processing characteristics and constraints, objectives and performance measures.
3. Week  APPROACHES TO SCHEDULİNG: Overview , past approaches (manual approaches, mathematical approaches,beam search(partial enumeration)
4. Week  APPROACHES TO SCHEDULİNG: newer approaches (intensification/ diversification methods, simulated annealing, genetic algorithms, ,bottleneck methods,
5. Week  Job Shop Scheduling:ONE MACHİNE PROBLEMS : Single machine: foundations, fundamental propositions, problems without due dates, problems with due dates
6. Week  PARALLEL MACHINES: General procedures and herustics for flow time, makespan and other performance measures.
7. Week  SCHEDULING FLOW SHOPS: makespan on a two machine , makespan with more than two machines, heuristics, branch and bound approaches. SCHEDULING FLOW SH
8. Week  MIDTERM EXAM I.
9. Week  SCHEDULING JOB SHOPS: Basic methods, exact methods,search heuristics, dispatching methods .
10. Week  EARLINESS AND TARDINESS PENALTIES: minimizing deviations from a common due date, the restricted version, different earliness and tardiness penalties,
11. Week  Sequence Dependent Setup Times Scheduling
12. Week  Special Sheduling Problems: vehicle routing, reservation systems
13. Week  FUTURE DIRECTIONS ON Scheduling:a state of the art survey on current and future directions of scheduling.
14. Week  FUTURE DIRECTIONS ON Scheduling:a state of the art survey on current and future directions of scheduling.
15. Week  FUTURE DIRECTIONS ON Scheduling:a state of the art survey on current and future directions of scheduling.
16. Week  FINAL EXAM
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
0
0
 Application
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
2
28
 Searching in Internet and Library
2
20
40
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
1
25
25
 Presentation
1
4
4
 Midterm Exam and Preperation for Midterm Exam
1
20
20
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
179
 TOTAL WORKLOAD / 25: 
7.16
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
 -- NAME OF LECTURER(S)
   (Prof.Dr.Ertan GÜNER and other relevant faculty members)
 -- WEB SITE(S) OF LECTURER(S)
   (http://w3.gazi.edu.tr/~erguner/)
 -- EMAIL(S) OF LECTURER(S)
   (erguner@gazi.edu.tr)