ØAL121 New Technologies in Operations and Supply Chain Management

Contents and structure

This course covers the integration of new technologies to enhance operations and efficiency in supply chains. It provides an introduction to AI analytics, automation, and digital tools used to analyze, visualize, and improve logistics and supply chain processes.Through practical work in Python and Jupyter Notebooks, students learn to use simple simulation tools, API data, and visualizations to understand how technology can support decision-making and efficiency in supply chain management.

Learning Outcome

Knowledge

Upon completion of the course, the student should be able to:

• Explain how new technologies such as IoT, automation, and AI influence supply chains.

• Describe how data analysis and simulation can be used to improve operational performance.

• Demonstrate understanding of how APIs and digital tools can provide real-time information in supply networks.

• Explain how visualization and KPI dashboards are used to monitor efficiency and quality.

• Reflect on ethical and sustainable aspects of using technology in modern supply chain management (SCM).

Skills

Upon completion of the course, the student should be able to:

• Use Python and Jupyter Notebooks for basic data collection, analysis, and visualization.

• Perform a simple simulation (for example, Monte Carlo or scenario analysis) to illustrate uncertainty in the supply chain.

• Create a basic dashboard that displays relevant KPIs for supply chain processes.

• Collaborate in teams on small-scale technology projects related to logistics and operations.

• Communicate how new technology can contribute to improvement in a practical SCM case.

General Competence

Upon completion of the course, the student should be able to:

• Understand how digitalization and data analysis affect efficiency and sustainability in supply chains.

• Reflect on the opportunities and limitations of using new technology in operations.

• Contribute to digital improvement and innovation in supply chains through simple data and technology tools.

• Develop awareness of continuous learning and the need for technological understanding in future roles within logistics and supply chain management.

Entry requirements

None

Recommended previous knowledge

Prior knowledge in business economics is an advantage.

Teaching methods

Classroom teaching and assignment seminars combined with group work. Group-based guidance as needed.

Compulsory learning activities

• 1 group-based compulsory work requirement (semester assignment) must be passed before an examination can be taken.
• 1 group-based oral presentation of the compulsory work requirement (semester assignment) must be passed before an examination can be taken.
• Mandatory attendance at assignment seminars

A total of 3 compulsory work requirements

Assessment

Group-based home examination (three days) with adjusting oral examination.

The grade will be announced at least 24 hours before the adjusting oral examination starts. The grade may be adjusted up or down by a maximum of one grade after the oral exam. The grade for the adjusting oral exam is identical to the final grade.

The grade after the oral exam can be set individually for each group member.

Oral exam duration 40 minutes

The time for the home exam deadline will be provided at the beginning of the semester.

The date and time for the oral examination will be specified at the start of the semester

Grading scale is A-F where F is fail.

Examination support material

Home examination: All

Oral exam: None

More about examination support material