İzmir Ekonomi Üniversitesi
  • TÜRKÇE

  • GRADUATE SCHOOL

    M.SC. In Industrial Engineering (With Thesis)

    LOG 511 | Course Introduction and Application Information

    Course Name
    Design and Analysis of Logistics Systems
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    LOG 511
    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 Group Work
    Problem Solving
    Lecture / Presentation
    National Occupation Classification -
    Course Coordinator
    Course Lecturer(s)
    Assistant(s)
    Course Objectives Improving the students’ knowledge and Professional skills on analyzing, designing and modeling logistics systems
    Learning Outcomes

    The students who succeeded in this course;

    • Student will be able to analyze logistics systems.
    • Student will be able to design new systems.
    • Student will be able to explain information about modeling techniques.
    • Student will be able to model logistics systems.
    • Student will be able to define necessary solution methods for model.
    Course Description This course mainly deals with fundamentals of transportation management, distribution's contribution to the logistics process, transport systems, modes of transport and intermodal transportation, urban transport, the role of customer service, ecommerce and physical distribution, transport cost characteristics and rate profiles by the modes of transportation and services. Transportation modeling through computer information systems, decision support systems, optimization models, simulation, advanced statistics, and commercial logistics software systems will also be emphasized.

     



    Course Category

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

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Related Preparation Learning Outcome
    1 Introduction: Logistics system analysis Chapters 1 (Textbook 2,GLM)
    2 Linear Programming and Transportation Problems Chapter 3 & 7 (Textbook 1, W)
    3 Integer Programming Review Chapter 9 (W)
    4 Designing the Logistics Network Chapter 3 (Textbook 2, GLM)
    5 Designing the Logistics Network Chapter 3 (GLM)
    6 Supplier Selection Chapter 4 (GLM)
    7 Network Design Chapter 6 (GLM)
    8 MIDTERM
    9 Long Haul Freight Transportation Chapter 6 (GLM)
    10 Long Haul Freight Transportation Chapter 6 (GLM)
    11 Long Haul Freight Transportation Chapter 6(GLM)
    12 Short Haul Freight Transportation Chapter 7 (GLM)
    13 Short Haul Freight Transportation Chapter 7 (GLM)
    14 Warehouse Design and Operations Chapter 5 (GLM)
    15 Review of semester
    16 Review of semester

     

    Course Notes/Textbooks Textbook 1, W: Operations Research: Applications and Algorithms. W.L. Winston, Duxbury, California. Reference Number: T57.6 /W56 Textbook 2, GLM: Introduction to Logistics Systems Planning and Control. G.Ghiani, G. Laporte, R. Musmanno. John Wiley & Sons, New Jersey, 2004. Reference number: TS161/G45. Course notes of instructor.
    Suggested Readings/Materials

    Business Logistics/Supply Chain Management. R.H. Ballou, New Jersey, Prentice Hall, 2004. Reference Number: HD 38.5 /B35 Contemporary Logistics. P.R. Murphy JR and D.F. Wood, New Jersey, Prentice Hall, 2004. Reference Number: HF 5415.6 /M87 

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    14
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    2
    20
    Presentation / Jury
    Project
    1
    20
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    20
    Final Exam
    1
    40
    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
    14
    2
    28
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    3
    5
    15
    Presentation / Jury
    0
    Project
    1
    50
    50
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    30
    30
    Final Exam
    1
    40
    40
        Total
    211

     

    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.

    -
    -
    -
    -
    -
    2

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

    -
    -
    -
    -
    -
    3

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

    -
    -
    -
    -
    -
    4

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

    -
    -
    -
    -
    -
    5

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

    -
    -
    -
    -
    -
    6

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

    -
    -
    -
    -
    -
    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.

    -
    -
    -
    -
    -
    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.

    -
    -
    -
    -
    -
    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.

    -
    -
    -
    -
    -
    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.

    -
    -
    -
    -
    -

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

     


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