Türkçe | English
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of INDUSTRIAL ENGINEERING
Industrial Engineering-Masters with Thesis
Course Catalog
https://www.ktu.edu.tr/endustri
Phone: +90 0462 +90 462 3773824
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of INDUSTRIAL ENGINEERING / Industrial Engineering-Masters with Thesis
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
ENDL7260Deterministic-Stochastic Models in Scheduling3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of INDUSTRIAL ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Kadir BÜYÜKÖZKAN
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To give students the ability to develop solutions for different types of difficult scheduling problems encountered in real life.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : To be able to develop solutions for difficult scheduling problems.1,5
PO - 2 : To be able to use mathematical modeling in solving scheduling problems1,5
PO - 3 : To be able to research the current literature on the subjec1,5
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Single Machine Models (Deterministic),Advanced Single Machine Models (Deterministic), Parallel Machine Models (Deterministic), Flow Shops and Flexible Flow Shops (Deterministic), Job Shops (Deterministic), Open Shops (Deterministic), Single Machine Models (Stochastic), Single Machine Models with Release Dates (Stochastic), Parallel Machine Models (Stochastic), Flow Shops, Job Shops and Open Shops (Stochastic)
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Deterministic Models; Single machine models and advanced topics in Single machine models
 Week 2Deterministic Models; Flow-shop type and flexible flow-shop type models
 Week 3Deterministic Models; Job-shop type models
 Week 4Deterministic Models; Open-shop type models
 Week 5Stochastic Models; single machine models
 Week 6Stochastic Models; Single Machine Models with Release Dates
 Week 7Stochastic Models; Parallel machine models
 Week 8Stochastic Models; Flow Shop, Jop Shop and Open Shop models
 Week 9Midterm Exam
 Week 10Stochastic Models; Flow Shop, Jop Shop and Open Shop models
 Week 11Stochastic Models; Flow Shop, Jop Shop and Open Shop models
 Week 12Examination of the current literature on scheduling
 Week 13Examination of the current literature on scheduling
 Week 14Examination of the current literature on scheduling
 Week 15Project Presantation
 Week 16Final Exam
 
Textbook / Material
11. Pinedo M. L., Scheduling: Theory, Algorithms and Systems, Springer, 3rd Edition, Springer, 1994
 
Recommended Reading
12. Baker K. R, Trietsch D., Principles of Sequencing and Scheduling, Wiley, 2009
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 90 30
Project 14 90 20
End-of-term exam 15 120 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term