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Talk to an Expert| Category | Assignment | Subject | Management |
|---|---|---|---|
| University | Singapore University of Social Science (SUSS) | Module Title | FMT313 Building Information Modelling For Facilities Management |
| Assessment Type | Tutor-Marked Assignment Two |
|---|

This assignment is worth 14% of the final mark for FMT313 Building Information Modelling for Facilities Management.
The cut-off date for this assignment is 27 March 2026, 2355hrs.
Note to Students:
You are to include the following particulars in your submission: Course Code, Title of the TMA, SUSS PI No., Your Name, and Submission Date.
Collusion and Plagiarism is a serious offence and your Turnitin report will be examined thoroughly as part of the marking process. All works from other authors must be appropriately cited and listed in a bibliography – failure to comply with proper referencing measures will be penalised.
You should use the given BIM model and Twin Logic software platform to answer this TMA.
You are required to submit TWO following components:
All datasets for Questions 1–5 must be stored in one Google Sheet workbook, organised into multiple sheets:
Important: Include a shareable Google Sheet link inside the PDF document.
All written components and screenshots must be compiled into one PDF file containing:
Google Sheet link clearly displayed
(a) Analyse the BIM model and determine the most suitable BIM parameter to serve as spaceId. Explain why this parameter is appropriate and operationally useful within an FM workflow.
(6 marks)
(b) Explain why the absence of unique assetId’s in the BIM model creates limitations in creation of Digital Twins.
(6 marks)
(c) Appraise a structured and consistent naming convention for manual asset tagging, including justification.
(8 marks)
Develop an FM-relevant asset tagging strategy using the External ID feature within the Digital Twin platform.
(a) Tag at least TEN (10) assets (e.g., equipment, plant, room-level assets).
(10 marks)
(b) Apply a consistent naming convention.
(4 marks)
(c) Construct an asset register with FM-relevant data fields.
(3 marks)
(d) Assess the operational value of each data column.
(3 marks)
Before building this Insight, ensure relevant spaces have been identified and tagged using the spaceId selected in Question 1. Spaces must be discoverable in the Digital Twin before visualization can occur.
Design a Space Insight (Plan) that visualizes work orders per space to support FM decision making.
Your work order dataset should include fields such as:
Use grouping, filtering, and colour representation to communicate:
Create a BMS dataset representing realistic operational behaviour under normal, warning, and failure conditions.
Develop a relationship schema illustrating system-level connectivity within a building system of your choice.
Your schema must include:
Your system representation does not need to be fully accurate or engineering-complete. Simplifications are acceptable if the relationships remain logically coherent. The objective is to demonstrate:
Prepare a reflective commentary discussing:
(a) Data (within BIM Model) Quality Impact: How the quality and structure of BIM data influenced your Digital Twin deployment.
(2 marks)
(b) Spatial vs. System Information: Explain how spatial and system information work together to support FM operations:
i. Spatial information (location, geometry, spatial hierarchy).
ii. System information (connectivity, flows, upstream–downstream behaviour) supports FM operations, troubleshooting, and planning.
(5 marks)
(c) Recommendations: Improvements or enhancements you would recommend if this Digital Twin were to be deployed in a real FM environment.
(3 marks)
Written reflection included in the consolidated PDF.
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