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SUSS LOG309 Industry 4.0 Logistics Applications ECA July 2026: GenAI Prompt, API Design and Video, Singapore

Updated: 25 Oct 2026 Free Assignment Question
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      LOG309 Industry 4.0 Logistics Applications: End-of-Course Assessment, July 2026 (SUSS)

      This SUSS LOG309 ECA sets a supply chain under stress: a company with unpredictable demand, supplier disruptions, tariff changes and maritime transit risks that are pushing up total landed cost and causing stock-outs. Section A asks you to prompt a GenAI tool about one Industry 4.0 application, design an API that fixes its weakness and extend a technology to cope with real-world data constraints, before Sections B and C add a short video and a slide deck.

      Course Code LOG309
      Course Title Industry 4.0 Logistics Applications
      University Singapore University of Social Sciences (SUSS)
      Assessment End-of-Course Assessment (ECA), July Semester 2026
      Submission Deadline Friday, 30 October 2026, 12:00 pm
      Marks Section A Report 65, Section B Video 25, Section C Slides 10
      Referencing APA

      What Must Be Submitted

      • Report: Microsoft Word (.docx), submitted to Canvas via Turnitin. Submit this item first as it carries the highest weightage.
      • Video presentation: minimum 3 minutes, maximum 6 minutes, submitted through Canvas (ECA_VIDEO). Showing the PowerPoint in the background is not required.
      • Presentation summary: the PowerPoint slides on which the video is based, converted to PDF, at least 20 words, maximum 15 slides, no downloaded slide templates.

      Use of Generative AI Tools (Allowed)

      Generative AI tools may be used. Students must give proper attribution, including a table that names the AI tool, the approach and prompts used, the full output and the part of the output adapted for the assignment. The University may use a viva voce to confirm authorship.

      Section A (65 marks)

      Answer all questions in this section.

      Question 1

      Industry 4.0 (the Fourth Industrial Revolution) refers to the widespread adoption of advanced digital technologies across industries. In supply chain and logistics, these technologies are being integrated to create more intelligent, efficient and automated processes, enabling real-time visibility, predictive decision-making and greater operational resilience.

      Your company supplies products that have unpredictable demand. In recent years, you have experienced several supply chain disruptions impacting suppliers, tariffs and maritime transit risks. These disruptions have resulted in shortages in inventory and an increase in total landed costs (the complete price of getting a product from the factory floor into a customer’s hands).

      Analyse one (1) major technological application that can help with such a scenario. (20 marks)

      • Construct a prompt of up to 50 words. The output should not exceed 200 words.
      • From this output, provide one (1) strength and one (1) weakness of this technology.
      • For submission, include the prompt and word count, and the output from the GenAI tool.
      • Estimated word count (your analysis): 200

      Reflect on how your original prompt could have been revised to improve the quality of GenAI’s output. (5 marks, estimated 50 words)

      Question 2

      In order to address that weakness from Question 1, examine one (1) hypothetical API and the systems it obtains information from to produce the information required for that technology. Your answer should read like a mini design document: inputs, processing, outputs, integration and controls, tied explicitly to the technology mentioned. (20 marks, estimated 200 words)

      Question 3

      From the output of the GenAI tool provided in Question 1, propose one (1) Industry 4.0 technology to address shortages and landed-cost increases. Extend the idea to operate under two constraints you choose from: limited sensor coverage, supplier data quality issues, tariff rule changes or unpredictable maritime delays. Explain how the solution would still produce useful output. (20 marks, estimated 200 words)

      Section B (25 marks)

      Prepare a video recording of the presentation of at least 3 minutes but not exceeding 6 minutes.

      Video Criterion Marks
      Organisation of presentation (logical flow) 8
      Posture and body language 5
      Eye contact (looking at the camera, no reading of slides or notes) 5
      Pace and articulation 7

      Section C (10 marks)

      Prepare a set of PowerPoint presentation slides upon which the video presentation is based, converted to PDF before submission.

      Slides Criterion Marks
      Format and style of slides 3
      Clarity and coherence (title, introduction, body, results, recommendations, conclusion) 4
      Creativity 3

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      Keep the GenAI prompt under 50 words and specific to landed cost and disruption, then judge the output rather than repeating it: the strength and weakness you pick in Question 1 should drive the API in Question 2, with clear inputs, processing, outputs and controls. In Question 3, choose two constraints you can really design around, such as poor supplier data or maritime delays, and show how the system still gives usable decisions.

      Our SUSS ECA help can guide the report and the video script, and you can read how our experts work before you share your brief. For another SUSS technology ECA, see the ENG235 AIoT ECA brief.

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