Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Institute of Graduate Programmes
  • Department of Industrial Engineering
  • Industrial Engineeering
  • Course Structure Diagram with Credits
  • Logistics Modeling and Optimization
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title ENM527 - Logistics Modeling and Optimization
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ZÜHAL KARTAL
Mode of Delivery Face to face
Prerequisites No prerequisites or co-requisites
Courses Recomended -
Required or Recommended Resources * G.Ghiani, G.Laporte ve R. Musmanno, , Introduction to Logistics Systems Planning and Control. Wiley, (2004).* P. Toth ve D. Vigo, The Vehicle Routing Problem, SIAM, 2002.
Recommended Reading List J. F. Campbell, Integer Programming Formulations of Discrete Hub Location Problem” European Journal of Operational Research 72:387-405, 1994.Integer linear programming formulations of multiple salesman problems and its variationsI. Kara, T. Bektas, European Journal of Operational Research 174 (3), 1449-1458, 2006.
Assessment methods and criteria 1 In-class midterm exam, 1 Final Exam, 1Project about writing a short paper and 2 homeworks
Work Placement No internship or work practice required
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction and Review of Concepts and definitions of logistics, history of logistics and logistics management.
Week - 2 Logistics in Distribution, Transportation and Communication Networks
Week - 3 Distribution Logistics Planning, the logistics network design and model the mathematical formulation, distribution logistics network design and modelling the mathematical formulations, many-to-many logistics systems, one-to-many logistics systems, milk-run logistics systems. Intermodal and Multimodal Logistics Networks
Week - 4 Facility Location Problems: Uncapacitated and Capacitated Facility Location problems, Uncapacitated Facility Location problem and alternative formulations, Capacitated Facility Location problem and alternative formulations
Week - 5 Classifying the problems as minisum, covering and center type by considering the objective functions of the problems; the p-median problem and 3&4-index mathematical models, the set covering and p-maximal covering problem and the mathematical models, the p-center problem and the mathematical models. Linear Programming Relaxation and Lagrangian Relaxation, Myopic Algorithms, Local Searches for Facility Location Problems. Using commercial and open-source solvers.
Week - 6 Hub location problems: Fixed costs hub location and p-hub median problems, the fixed costs hub location problem and the mathematical models, the p-hub median problem and alternative mathematical models. (2 index, 3 index and 4 index mathematical models).Hub location problems: hub covering and p-hub center problems, mathematical models with 3&4 index alternative formulations
Week - 7 Tersine Lojistik, Yeşil Lojistik ve İnsani Yardım Lojistiği Problemleri
Week - 8 Travelling Salesman Problem and Sub-tour breaking constraints, Sub-tour breaking constraints and modelling of it in different ways by using the formulations from the literature,Solution Techniques for Travelling Salesman Problems, Applications the nearest neighborhood, nearest insertion and savings algorithm to the Travelling Salesman Problem
Week - 9 Multiple Travelling Salesman Problems; Variants and Models; Hill Climbing Heuristics, Simulated Annealing Algorithm
Week - 10 Stokastik Lojistik Problemleri
Week - 11 Multi-Objective Logistics Problems
Week - 12 Vehicle Routing Problems, Variants and Models; Capacitated, Time-Windows, Fleet Size and Mix; Alternative Paths Vehicle Routing Problems.
Week - 13 Classical Vehicle Routing Algorithms; Application of the nearest neighborhood, nearest insertion, savings, sweep and clustering algorithms to the Vehicle Routing Problem
Week - 14 Integrated Location Routing Problems, Hub Location and Routing Problems

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Questoning
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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