TRC6801 Data driven supply chain optimisation and AI applications
Faculty of Engineering
TRC6801 Data driven supply chain optimisation and AI applications is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2027 in Semester 1 at Malaysia. It has no prerequisites.
- Credit points
- 0
- Offered in 2027
- Semester 1
- Malaysia
- Assessment
- Exam 50%
- and 3 other tasks
- Workload
- 144 hours
- per semester
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Requisites
Before TRC6801
Prohibitions
You can't enrol if you have passed any of these.
After TRC6801
No unit lists TRC6801 as a prerequisite in the 2027 handbook.
Enrolment rules
You must be enrolled in the Engineering PhD program. Students enrolled in another PhD program may seek permission from the Faculty of Engineering. The unit assumes that you have the necessary foundational knowledge.
Overview
This unit provides a comprehensive introduction to the use of data analytics and artificial intelligence (AI) in optimising modern supply chains. You will gain skills to evaluate key supply chain processes and apply data-driven methodologies to enhance efficiency, reduce costs and improve decision-making. Through hands-on projects and case studies, you will design predictive models using AI and machine learning techniques, synthesising data from multiple sources to address complex challenges. You will explore the integration of AI within decision-making frameworks, ensuring supply chain resilience and adaptability in dynamic global markets. Emphasis is placed on the importance of sustainable and ethical practices, highlighting their role in creating socially responsible supply chain strategies. By the end of the unit, you will have a strong foundation in leveraging data insights to justify strategies and solutions in real-world supply chain environments, preparing you for roles in industries increasingly driven by AI and data analytics.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- AssignmentsArtefactThreshold hurdle20%
- Tests and quizzesQuiz / TestThreshold hurdle20%
- ProjectThreshold hurdle10%
- Final assessmentExaminationThreshold hurdle50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Evaluate supply chain processes and use data analytics for optimisation.
- 2
Design AI-driven predictive models for decision-making processes within supply chains.
- 3
Synthesise data from various sources to solve complex supply chain challenges.
- 4
Justify supply chain strategies through data-driven insights.
- 5
Appreciate sustainable and ethical supply chain practices and their impact on the largest society.
Workload and teaching
- Practical activities24 hours
- Workshops24 hours
- Teaching approachOnline learning
- Teaching approachPeer assisted learning
- Teaching approachActive learning
- Teaching approachSimulation or virtual practice
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
Independent study using video, written and online quiz-based resources.
Working in a team of 2, you will work to apply what you have learnt in the workshops to solve case studies via assignments.
Working through theory-based, problem-based and industrial-based examples during the workshop sessions.
Modern simulation tools will be introduced to help you simulate and visualise the production line and understand how various parameters affect the supply chain and operations management.
Contacts
- Chief Examiners
- Associate Professor Alpha Agape
- Unit Coordinators
- Associate Professor Alpha Agape
Common questions
What are the prerequisites for TRC6801?
TRC6801 has no prerequisites, but enrolment rules apply.
When is TRC6801 offered?
In 2027, TRC6801 runs in Semester 1 at Malaysia.
How much work is TRC6801?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does TRC6801 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.