SCM and smart logistics (5cr)
Code: PG00FP27-3001
General information
- Enrollment
- 07.04.2025 - 21.04.2025
- Registration for the implementation has ended.
- Timing
- 01.08.2025 - 31.12.2025
- Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Internationalisation Services
- Campus
- Kouvola Campus
- Teaching languages
- English
- Seats
- 40 - 60
- Teachers
- Rasindu Herath
- Groups
-
PGBMKV24SPost-Graduate Diploma in Business Management
- Course
- PG00FP27
Realization has 9 reservations. Total duration of reservations is 38 h 0 min.
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Wed 17.09.2025 time 12:30 - 16:30 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
251
Teorialuokka (40+1), päärakennus
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Wed 24.09.2025 time 11:00 - 15:00 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
357
Teorialuokka (80+1), Kaarisali päärakennus
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Wed 01.10.2025 time 12:30 - 16:30 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
141
Teorialuokka (40+1), päärakennus
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Wed 08.10.2025 time 12:30 - 16:30 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
141
Teorialuokka (40+1), päärakennus
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Wed 15.10.2025 time 12:30 - 16:30 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
251
Teorialuokka (40+1), päärakennus
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Wed 29.10.2025 time 12:00 - 16:00 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
142
Teorialuokka (40+1), päärakennus
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Tue 04.11.2025 time 11:00 - 15:00 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
251
Teorialuokka (40+1), päärakennus
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Wed 03.12.2025 time 12:00 - 16:00 (4 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
141
Teorialuokka (40+1), päärakennus
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Tue 09.12.2025 time 11:00 - 17:00 (6 h 0 min) |
SCM and smart logistics PG00FP27-3001 |
251
Teorialuokka (40+1), päärakennus
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Objective
In this course, students:
Learn to understand the principles and practices of Supply Chain Management (SCM) and their role in modern logistics.
Learn about logistics networks, inventory management, and distribution strategies.
Explore the integration of innovative technologies, such as IoT, AI, and big data, in optimising supply chain operations.
Develop the skills needed to analyse and improve the efficiency of logistics systems.
Learn how to reduce costs and increase the flexibility of logistics systems in the context of a rapidly evolving global market.
Gain insights into the future of logistics and supply chain management through the application of "smart" solutions.
Content
This course explores key questions such as:
How can innovative technologies like IoT, AI, and big data be applied to optimise supply chain operations?
What are the key principles of effective logistics network management and inventory control?
How can businesses enhance the efficiency of their supply chains while reducing costs?
What strategies can be employed to increase flexibility and adapt to changes in global market conditions?
How do "smart" logistics solutions impact the overall performance of supply chains?
What are the future trends in SCM and logistics, and how can businesses stay ahead of the curve?
Evaluation
After completing this course, students can:
Analyse and apply SCM principles and practices to real-world logistics challenges.
Integrate innovative technologies into logistics and supply chain operations to optimise performance.
Develop strategies to reduce costs and increase flexibility in logistics systems.
Use big data, IoT, and AI to enhance decision-making in supply chain management.
Critically evaluate logistics strategies and adapt them to meet the demands of a changing global market.
Work independently or in teams to design and implement smart logistics solutions in various industries.
Course material
Regular class attendance and completing assigned tasks should be sufficient to achieve the learning objectives.
However, to gain deeper insights into supply chain management, the following sources are recommended:
Christopher, M. (2023). Logistics & supply chain management (Sixth edition.). Pearson.
Mangan, J., Lalwanis, C., & Calatayud, A. (2021). Global logistics and supply chain management (Fourth edition.). Wiley.
Baisya, R. K. (2024). Supply chain and logistics management: An integrated approach. Routledge.
Study forms and methods
At the end of the study unit, students should be able to:
Understand and explain key supply chain management (SCM) and smart logistics concepts.
Analyze and apply supply chain strategies, including Lean, Agile, and sustainable practices.
Evaluate and optimize logistics and transportation networks.
Utilize digital tools and technologies such as IoT, AI, and blockchain in SCM.
Develop and implement key performance indicators (KPIs) for supply chain efficiency.
Assess risks and develop mitigation strategies in global supply chains.
Apply ethical considerations in supply chain decision-making.
RDI and work-related cooperation
You will learn:
(1) How to identify and solve supply chain challenges in real-world organizations.
(2) How to collect and analyze supply chain and logistics data.
(3) How to develop innovative supply chain solutions based on case studies and industry trends.
(4) The impact of digital transformation on SCM and logistics.
(5) The significance of sustainability and circular economy principles in supply chain design.
(6) Writing industry-relevant reports and case analyses following academic and professional standards.
Timing of exams and assignments
The maximum number of points for the course is 100, allocated as follows:
Final Quiz – 40 points (Date will be announced during lectures)
Final Report – 50 points (Submission deadline will be announced during lectures)
Presentation – 10 points (Date will be announced during lectures)
To pass the course, you must:
Complete each item of assessment listed above.
Attain at least half the points for each assessment item.
No exceptions will be made to these minimum requirements.
International cooperation
Exposure to international supply chain case studies and best practices.
Collaboration with multinational companies or guest lectures from industry professionals.
Analysis of global supply chain disruptions and strategies for resilience.
Student workload
For five credits, the expected student workload is approximately 135 hours, encompassing the following key areas:
Engaging Lectures and Interactive Tutorials: Students will actively participate in lectures and interactive tutorials, fostering a dynamic learning environment.
In-depth Final Report: Students will undertake a comprehensive research project culminating in a well-researched and insightful final report.
Capstone Presentation: Students will showcase their research findings and critical thinking skills through a compelling final presentation.
Course part description
Face-to-face (F2F) teaching – Interactive classroom sessions covering key concepts.
Guest lectures – Insights from industry experts and professionals.
Practical case studies – Real-world scenarios to enhance problem-solving skills.
Evaluation scale
1-5