Literature Review of Emerging Supply Chain Practices

School of Engineering

About this use case

Students conduct a literature survey of current and emerging supply chain practices within an assigned industry and review focus. They examine the selected methodology, evaluate whether it is becoming outdated or represents an emerging trend, and synthesise evidence to develop an informed understanding of contemporary supply chain techniques.

Learning outcomes:

Evaluate supply chain processes and use data analytics for optimisation.
Design AI-driven predictive models for supply chain decision-making.
Synthesise data from multiple sources to address complex supply chain challenges.
Justify supply chain strategies using data-driven insights.
Appreciate sustainable and ethical supply chain practices and their impact on wider society.

- To build students’ familiarity with current and advanced supply chain methodologies and help them critically evaluate whether particular practices are established, outdated or emerging.
- To be exposed to the latest developments, building on understanding developed from in‑class discussions.
1. Assign each student or group a specific industry and review focus.
2. Guide students in conducting and consolidating a literature review.
3. Explain how generative AI may be used to locate relevant R functions and examples.
4. Provide clear instructions on documenting generative AI use in the report.
5. Reinforce ethical and responsible AI use during workshops and tutorials.
6. Direct students to relevant LearnHQ guidance.
- Greater familiarity with current and emerging supply chain methodologies.
- Improved ability to evaluate whether a supply chain practice is established, dated or developing.
- Stronger literature-review and evidence-synthesis skills.
- Improved ability to identify relevant R functions and examples.
- Greater awareness of responsible and transparent generative AI use.

Try it out

This use case requires a medium level of effort to implement.

- Assign students a specific industry and a defined supply chain topic or review perspective.
- Ask them to conduct a desktop literature survey on the allocated industry, to identify common/known problems.
- Get students to draft a few versions of prompts based on the literature survey results, run the prompts through AI to see the results.
- Synthesise the findings and compile in a report.
- Provide clear boundaries for generative AI use and explain them in the assessment instructions,
- Guide students during workshops and tutorials,
- Show the impact of good prompting vs poor prompting.
- Provide access to institutional ethical-use resources, and
- Require transparent documentation of how generative AI supported the work.
Direct observation
Assessment is conducted in real-time with the educator physically or virtually observing the participant’s performance, ensuring authenticity of the work.

Supporting resources

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Sidebar

Unit: TRC5801	Condition: Group
Class size: 20–40	Typology: Written
AI approach: Using and applying AI tools effectively	AI statement: Guided use
Visibility of Learning: Direct observation

About the educator

Validated by

Sri Bala Murugan, Education Designer, Education Excellence