İzmir Ekonomi Üniversitesi
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    M.SC. In Industrial Engineering (With Thesis)

    IE 532 | Course Introduction and Application Information

    Course Name
    Advanced Scheduling Systems
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    IE 532
    Fall/Spring
    3
    0
    3
    7.5

    Prerequisites
    None
    Course Language
    English
    Course Type
    Elective
    Course Level
    Second Cycle
    Mode of Delivery -
    Teaching Methods and Techniques of the Course -
    National Occupation Classification -
    Course Coordinator
    Course Lecturer(s)
    Assistant(s) -
    Course Objectives The purpose of the course is to introduce students to a broad range of scheduling problems that arise in both manufacturing and service organizations, and to teach scheduling techniques, starting from basic principles, and leading to algorithms and computerized scheduling systems. The topics include machine scheduling and job shop scheduling, flexible assembly systems, interval scheduling, and workforce scheduling. The emphasis will be on systems design and implementation.
    Learning Outcomes

    The students who succeeded in this course;

    • Get knowledge on basic models in scheduling
    • Get knowledge on basic solution techniques for scheduling models
    • Learn about applications of scheduling models
    Course Description Deterministic machine scheduling problems: single stage, open shop, flow shop, and job shop problems with single and parallel machines. Dynamic scheduling problems and priority dispatching. A survey of other scheduling problems. Applications in manufacturing systems.

     



    Course Category

    Core Courses
    Major Area Courses
    X
    Supportive Courses
    Media and Management Skills Courses
    Transferable Skill Courses

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Related Preparation Learning Outcome
    1 Introduction to sequencing and scheduling problems Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 1; Planning and Scheduling in Manufacturing and Services, M. L. Pinedo, Springer, 2005, Chapter 1
    2 Deterministic models: classification/notation Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 2; Planning and Scheduling in Manufacturing and Services, M. L. Pinedo, Springer, 2005, Chapter 2,3
    3 Modeling and solution methods Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Appendix A, B.1; Planning and Scheduling in Manufacturing and Services, M. L. Pinedo, Springer, 2005, Appendix A, B, C
    4 Single machine models Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 3
    5 Single machine models Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 3
    6 Parallel machine models Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 5
    7 Parallel machine models Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 5
    8 Midterm
    9 Flow shops Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 6
    10 Job shops Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 7
    11 Open shops Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 8
    12 Scheduling applications and project presentations
    13 Scheduling applications and project presentations
    14 Scheduling applications and project presentations
    15 Review of the semester
    16 Final Exam

     

    Course Notes/Textbooks

    Pinedo, M., Scheduling: Theory, Algorithms and Systems, Springer, 4e, 2012; Pinedo, M., Planning and Scheduling in Manufacturing and Services, Springer, 2005.

    Suggested Readings/Materials Related Research Papers

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    Presentation / Jury
    1
    15
    Project
    1
    25
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    30
    Final Exam
    1
    30
    Total

    Weighting of Semester Activities on the Final Grade
    70
    Weighting of End-of-Semester Activities on the Final Grade
    30
    Total

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Theoretical Course Hours
    (Including exam week: 16 x total hours)
    16
    3
    48
    Laboratory / Application Hours
    (Including exam week: '.16.' x total hours)
    16
    0
    Study Hours Out of Class
    15
    4
    60
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    0
    Presentation / Jury
    1
    12
    12
    Project
    1
    40
    40
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    30
    30
    Final Exam
    1
    35
    35
        Total
    225

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

    #
    PC Sub Program Competencies/Outcomes
    * Contribution Level
    1
    2
    3
    4
    5
    1

    To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems.

    -
    -
    -
    -
    X
    2

    To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment.

    -
    -
    -
    X
    -
    3

    To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality.

    -
    -
    X
    -
    -
    4

    To be able to conduct basic research and write and publish articles in related conferences and journals.

    -
    -
    -
    -
    X
    5

    To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results.

    -
    -
    -
    X
    -
    6

    To be able to manage decision-making processes in industrial systems.

    -
    X
    -
    -
    -
    7

    To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary.

    -
    X
    -
    -
    -
    8

    To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering.

    -
    X
    -
    -
    -
    9

    To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria.

    -
    X
    -
    -
    -
    10

    To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.

    -
    X
    -
    -
    -

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

     


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