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
1Can Reach the information in width and in depth by conducting scientific research in the field, evaluate, interpret and apply the information.X
2Has comprehensive knowledge about current techniques and methods applied in engineering and their limitations.X
3Completes and applies knowledge using scientific methods, using uncertain, limited or incomplete data; use information from different disciplines together.X
4Aware of the new and emerging practices of the profession, examines and learns when needed.X
5Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions.X
6Develops new and / or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.X
7Designs and applies theoretical, experimental and modeling based research; examines and solves the complex problems encountered in this process.X
8Can work effectively in disciplinary and multidisciplinary teams, can lead such teams and develop solutions in complex situations; work independently and take responsibility.X
9Communicate verbally and in writing by using a foreign language at least at the B2 level of European Language Portfolio.X
10Transfer the process and results of his / her studies in written and verbal form in a systematic and clear manner in national and international environments within or outside the field.X
11Knows the social, environmental, health, security, legal aspects of engineering applications as well as project management and business practices and is aware of the constraints that these impose on engineering applications.X
12It considers social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.X
 -- 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)