FACULTY OF BUSINESS

Department of Logistics Management

LOG 302 | Course Introduction and Application Information

Course Name
Logistics Planning and Modeling II
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
LOG 302
Fall/Spring
3
2
4
6

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery Blended
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives 1) To optimize the trade-offs encountered in logistics systems and to develop necessary analytical methods to establish a minimum cost highest quality of service. 2) To have students to demonstrate the ability to use management science, probability and statistics knowledge to make long, medium and short term decisions regarding logistic system design, inventory management, warehouse design and operations, facility locations and freight transport. 3) To teach the ability to analyze and solve the complex logistics decision problems in a systematic perspective by using mathematical programming, heuristic algorithms and related computer applications.
Learning Outcomes The students who succeeded in this course;
  • analyze existed logistics systems and to design new systems, and assess the related short, medium and long term decisions about the logistics system
  • perform Input data analysis, define decision variables, and model the logistics system planning problems
  • solve some simple problems with analytical techniques and use optimization software effectively for more complex problems
  • analyze the problem solutions, and to assess the likely consequences and the degree of applicability in the real world as a decision maker.
Course Description The course includes the fundamentals of the analytical tools available to reduce costs and improve service levels in logistics systems. Strategic, tactical and operational level decisions regarding logistics system design, inventory management, warehouse design and operations, facility location, freight transport planning are studied and modeled using operations research tools. The essential theory on set covering, traveling salesperson and vehicle routing problems is studied to provide a sound basis for advanced modeling. Mathematical programming and heuristic algorithms for solving complex logistics decision problems are introduced with relevant computer applications.

 



Course Category

Core Courses
X
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: Logistics system analysis G. Ghiani, G. Laporte, R. Musmanno (Ch. 1)
2 A review of mathematical programming /GAMS software/ Logistics Network Design G. Ghiani, G. Laporte, R. Musmanno (Ch. 3)
3 Logistics network design /Facility location problem/GAMS software G. Ghiani, G. Laporte, R. Musmanno (Ch. 3)
4 Facility location problem / Supplier Selection G. Ghiani, G. Laporte, R. Musmanno (Ch. 3, Ch. 4)
5 Classification of transport problems / Fleet Composition G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.1 & 6.6)
6 Freight traffic problems G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.2)
7 Service network design problems G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.3)
8 Midterm Exam
9 Shipment consolidation and dispatching / Models for intermodal selection G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.7)
10 Vehicle allocation problem /Driver assignment problem G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.4 & 6.5)
11 Short haul freight transportation: Vehicle routing problem G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.8)
12 Vehicle Routing Problem G. Ghiani, G. Laporte, R. Musmanno (Ch. 6.8)
13 Project presentations
14 Designing and operating a warehouse G. Ghiani, G. Laporte, R. Musmanno (Ch. 5)
15 Final Exam
16 Review of the Semester  

 

Course Notes/Textbooks

Textbook: Introduction to Logistical Systems Management. G. Ghiani, G. Laporte, R. Musmanno. Second Edition, Chichester, John Wiley & Sons, 2013. Reference number: TS 161 G45 2013

 

Reference textbooks:

  1. Introduction to Logistics Systems Planning and Control. G. Ghiani, G. Laporte, R. Musmanno. John Wiley & Sons, New Jersey, 2004. Reference number: TS161 /G45.
  2. Logistics and Transportation Design and Planning. R. G. Kasilingam. Kluwer, London, 1998. Reference number: HD38.5 /K37.
  3. Operations Research Applications and Algorithms. W. L. Winston Thomson/Brooks/Cole, California, 2004. Reference number: T57.6 /W56.
  4. Linear and Nonlinear Programming.  Luenberger, KAP, London 2003. Reference number: T57.7/L84

 

Course Web Page on Blackboard:

Announcements will be done on the course web site. Students are expected to visit the course web site regularly.

Suggested Readings/Materials
  1. Introduction to Logistics Systems Planning and Control. G. Ghiani, G. Laporte, R. Musmanno. John Wiley & Sons, New Jersey, 2004. Reference number: TS161 /G45.
  2. Logistics and Transportation Design and Planning. R. G. Kasilingam. Kluwer, London, 1998. Reference number: HD38.5 /K37.
  3. Operations Research Applications and Algorithms. W. L. Winston Thomson/Brooks/Cole, California, 2004. Reference number: T57.6 /W56.
  4. Linear and Nonlinear Programming.  Luenberger, KAP, London 2003. Reference number: T57.7/L84

Course Web Page on Blackboard:

Announcements will be done on the course web site. Students are expected to visit the course web site regularly.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
14
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
3
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
17
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
14
1
14
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
11
11
Presentation / Jury
0
Project
1
32
32
Seminar / Workshop
0
Oral Exam
0
Midterms
1
20
20
Final Exam
1
40
40
    Total
165

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able to analyze complex problems in the field of logistics and supply chains

X
2

To be able to have good knowledge of sector related market leaders, professional organizations, and contemporary developments in the logistics sector and supply chains

X
3

To be able to participate in the sector-related communication networks and improve professional competencies within the business sector

X
4

To be able to use necessary software, information and communication technologies in the fields of logistics management and supply chain

X
5

To be able to understand and utilize the coordination mechanisms and supply chain integration

X
6

To be able to analyze the logistics and supply chain processes using the management science perspective and analytical approaches

X
7

To be able to design, plan and model in order to contribute to decision making within the scope of logistics and supply chains

X
8

To be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chains

X
9

To be able to conduct projects and participate in teamwork in the field of logistics and supply chains

X
10

To be able to have an ethical perspective and social responsiveness when making and evaluating decisions.

X
11

To be able to collect data in the area of logistics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

X
12

To be able to speak a second foreign at a medium level of fluency efficiently.

X
13

To be able to relate the knowledge accumulated throughout human history to their field of expertise.

X

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

 


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