COURSE UNIT TITLE

: ARTIFICIAL INTELLIGENCE FOR SUPPLY CHAINS AND LOGISTICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
LGM 4030 ARTIFICIAL INTELLIGENCE FOR SUPPLY CHAINS AND LOGISTICS ELECTIVE 3 0 0 5

Offered By

Logistics Management (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ÖMÜR YAŞAR SAATÇIOĞLU

Offered to

Logistics Management (English)

Course Objective

Equip learners with a comprehensive understanding of AI fundamentals, machine learning and optimization, and the critical ability to assess and apply AI tools ethically and effectively in addressing real-world supply chain and logistics challenges.

Learning Outcomes of the Course Unit

1   Understand AI fundamentals and key terminologies.
2   Distinguish between various AI types and techniques.
3   Gain knowledge of machine learning and optimization.
4   Critically assess the integration of AI into supply chain and logistics contexts.
5   Gain knowledge on critical AI tools for Supply Chain and Logistics processes.
6   Evaluate ethical, social, and regulatory aspects of AI applications.
7   Applying practical AI solutions for logistics challenges.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Artificial Intelligence and overview
2 Fundamentals of Artificial Intelligence
3 Types of Artificial Intelligence & Core Techniques
4 Data Foundations of Artificial Intelligence in Supply Chains and Logistics
5 Machine Learning Algorithms for Logistics
6 Ethical, Social, and Legal Considerations of Artificial Intelligence Implementation
7 Mid-Term Exam
8 Predictive Analytics & Forecasting with Artificial Intelligence
9 Optimization & Decision-Making with Artificial Intelligence
10 Artificial Intelligence in Transportation & Fleet Management
11 Artificial Intelligence in Warehouse Management & Robotics
12 Integration of Artificial Intelligence Technologies
13 Future Trends & Research Directions of Artificial Intelligence
14 Case Studies and Practical Applications of Artificial Intelligence in Supply Chains and Logistics
15 Student Presentations
16 Final Exam

Recomended or Required Reading

Perumal, K., Chowdhary, C. L., & Chella, L. (Eds.). (2022). Innovative Supply Chain Management Via Digitalization and Artificial Intelligence (Vol. 424). Springer Nature.

Helo, P., & Hao, Y. (2022). Artificial intelligence in operations management and supply chain management: An exploratory case study. Production Planning & Control, 33(16), 1573-1590.

Woschank, M., Rauch, E., & Zsifkovits, H. (2020). A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics. Sustainability, 12(9), 3760.

Planned Learning Activities and Teaching Methods

Literature review, case studies, problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FINS FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FINS * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Oral, written, and practical competencies regarding the use of knowledge, abilities and skills in the field of Artificial Intelligence for Supply Chains and Logistics in terms of research, investigation and application will be evaluated.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Ömür Yaşar Saatçioğlu

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 13 4 52
Preparation for midterm exam 1 5 5
Preparation for final exam 1 10 10
Preparing presentations 1 12 12
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1445544545555
LO.255555
LO.344555445555
LO.4445554555555
LO.5445554555555
LO.6545545
LO.74455545555