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İzmir Ekonomi Üniversitesi

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    GRADUATE SCHOOL

    Logistics Management (Without Thesis)

    LOG 522 | Course Introduction and Application Information

    Course Name
    Quantitative Methods in Logistics Management
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    LOG 522
    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 This course aims at teaching a variety of methods useful in solving management problems in logistics activities so that the students can gain a quantitative foundation in basic mathematical modelling and problem solving that will be helpful in the higher level courses such as Design and Analysis of Logistics Systems and Simulation in Supply Chain and Logistics.
    Learning Outcomes

    The students who succeeded in this course;

    • will be able to learn how to analyse complex management problems
    • will be able to learn how to apply the systems approach to complex management problems
    • will be able to solve public and private business decision making problems via linear and integer mathematical optimization models
    • will be able to solve complex mathematical models by means of computer software
    • will be able to interpret the solutions of mathematical optimization models
    Course Description The main emphasis of the course is how to model a managerial problem using mathematical modelling (Linear programming and Integer programming). Many examples from different application areas are given. Solution techniques for some special problems are discussed.
    Related Sustainable Development Goals

     



    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
    1 Introduction to Modelling Operations Research Applications and Algorithms Chp 1
    2 Modelling with Linear Programming Operations Research Applications and Algorithms Chp 3
    3 Modelling with Linear Programming Operations Research Applications and Algorithms Chp 3
    4 Modelling with Linear Programming: Solving examples of linear programming models Operations Research Applications and Algorithms Chp 3
    5 Integer Linear Programming Models Operations Research Applications and Algorithms Chp 9
    6 Integer Linear Programming Models Operations Research Applications and Algorithms Chp 9
    7 Midterm
    8 Integer Linear Programming Models Operations Research Applications and Algorithms Chp 9
    9 Linear Programming Transportation Models Operations Research Applications and Algorithms Chp 7
    10 Network Optimization Models Operations Research Applications and Algorithms Chp 8
    11 Network Optimization Models Operations Research Applications and Algorithms Chp 8
    12 Network Optimization Models Operations Research Applications and Algorithms Chp 8
    13 Decision Making Models Operations Research Applications and Algorithms Chp 13
    14 Decision Making Models Operations Research Applications and Algorithms Chp 13
    15 Decision Making Models Operations Research Applications and Algorithms Chp 13
    16 Review of the Semester

     

    Course Notes/Textbooks

    Course notes and reading material, Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books

    Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prencite Hall, New Jersey
    Suggested Readings/Materials

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    -
    5
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    5
    15
    Presentation / Jury
    Project
    -
    -
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    40
    Final Exam
    1
    40
    Total

    Weighting of Semester Activities on the Final Grade
    6
    60
    Weighting of End-of-Semester Activities on the Final Grade
    1
    40
    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
    16
    3
    48
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    5
    15
    75
    Presentation / Jury
    0
    Project
    -
    -
    0
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    25
    25
    Final Exam
    1
    29
    29
        Total
    225

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

    #
    		 Program Competencies/Outcomes
    * Contribution Level
    1
    2
    3
    4
    5
    1 Being able to contribute to the institution the participant works for and the logistics sector by the use of the knowledge and abilities gained during the education period; and manage change in the institution and the sector;
    -
    -
    -
    -
    X
    2 Reaching a competency about contemporary business and technology applications in the area of logistics and supply chain management and analysis and strategy development methods;
    -
    -
    -
    X
    -
    3 Being able to create opportunities by combining supply chain management with information technologies and innovative processes by the use of the interdisciplinary courses the participants take;
    -
    -
    -
    X
    -
    4 Having the ability to develop creative solutions by working on global logistics and supply chain subjects and realizing these by the use of their project management knowledge;
    -
    -
    -
    X
    -
    5 Having the knowledge, abilities and capabilities required for effective logistics and supply chain management by the use of a problem and case analysis based learning;
    -
    -
    -
    -
    X
    6 Being able to examine logistics and supply chain processes with the management science viewpoint, analyze related concepts and ideas by scientific methods;
    -
    -
    -
    X
    -
    7 If continuing to work in the academia, having the necessary information on logistics applications; if continuing to work in the sector, having the necessary knowledge on conceptual subjects;
    -
    -
    -
    -
    X
    8 Being able to specify appropriate research questions about his/her research area, conduct an effective research with the use of necessary methods and apply the research outcomes in the sector or the academia;
    -
    -
    -
    -
    X
    9 Being able to follow the changes and developments in the sector the participant works in, in order to keep his/her personal and professional competence updated and develop himself/herself when necessary;
    -
    -
    -
    X
    -
    10 Be experts in the fields of logistics and supply chain with the help of the sectorfocused education they receive;
    -
    -
    -
    -
    X
    11 Have the necessary capabilities to pursue doctoral studies in national and foreign institutions
    -
    -
    -
    -
    X

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

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