MS924 Spreadsheet Modelling & Demand Forecasting Assignment Question

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Published: 08 Jul, 2026
Category Ass Subject Management
University _____________ Module Title MS924 Spreadsheet Modelling & Demand Forecasting

Instructions

  •  Answer all questions
  • Your submission must have 4 excel files (one for each question) and one word document (for question 4)
  • Make sure you save your macro-enabled Excel as .xlsm

TOTAL: 60 marks

Use of Gen-AI in the Assessment

Assessment Activities – Open

  • No restrictions, but use must be identified as part of the assessment process and correctly
    attributed.

The use of Gen-AI in the INDIVIDUAL assignment is optional. Using Gen-AI does not guarantee you will get the full marks by using only the results obtained. We will also evaluate your input and logic to solve each point of the assessment as a consultant. We strongly recommend you use Gen-AI as a tool and do not allow it to REPLACE you. Be aware of the potential flags and mistakes you can get as an output from your prompts. If you decide to use Gen-AI in your assessment, use Copilot as recommended by the university and follow the instructions below. Failure to follow these instructions may result in a loss of points in the assessment and potentially incur academic misconduct. Please, get familiarised yourselves with the university instructions on the use of Gen-AI in the learning and assessment in the following link:

https://www.strath.ac.uk/professionalservices/educationenhancement/qualityassurance/useofgen-aiinlearningassessment/

In addition, check the Academic Library Skills, topic 17 (Introduction to the

use of Gen-AI in academic work) https://classes.myplace.strath.ac.uk/course/view.php?id=25507

A separate AI reflections questionnaire is provided in your assignment briefing. You need to fill this questionnaire for each question that was answered using Gen-AI. This filled questionnaire must be included in your submission as a word document. If you do not use Gen-AI, you must also notify us of this in the same questionnaire.

  1. The names of the students and their heights are given in data file “Students.xlsm”. Write a macro that asks the user for a student name in an input box and displays the student’s height in a message box. Create a button and assign the macro to the button.
    (10 marks)

  2. The Australian Bureau of Statistics publishes their monthly data on the number of livestock slaughtered at:

https://www.abs.gov.au/statistics/industry/agriculture/livestock-and-meataustralia/latest-release

Create a spreadsheet model to implement simple exponential forecasting to forecast the number of lambs slaughtered in the next four months. Find the optimal values for the parameters of your model. 
(10 marks)

3. Write a VBA function that takes the time series and its forecast as input and returns the mean squared error.
(10 marks)

4. Case Study

A small company has commissioned you to develop a useful spreadsheet modelling tool to support their demand forecasting on a weekly basis. The tool will be used by the Operations Manager who needs forecasts of demand for 1-4 weeks ahead to help him plan production. He also needs a useful way of monitoring the performance of forecasts that he can use in weekly and monthly management reports, since this information will help inform inventory policies, for example.

Data and Information

To build, test and demonstrate the use of your modelling tool, the Operations Manager has made available the data in the spreadsheet “MS924 resit assignment data” and can be downloaded from Myplace page folder “Resit assignment brief and data files”

Task

You should develop a spreadsheet modelling tool that will support the implementation of an adaptive exponential smoothing method for the company, and you should include a mechanism for assessing forecast error and summarising it appropriately to meet the Operations Manager’s needs.

You should design your spreadsheet so that it can be used by company staff who have no knowledge of demand forecasting methods, but who will need to apply your model to make forecasts weekly and for multiple products. Therefore, your modelling tool should have the capability of being used with multiple product lines and also be dynamically updated as new demand data becomes available.  This has implications not only for updating the forecasts but also for the windows over which forecast error performance measures might be used. 
You should also use the data provided by the company to test that your model is working as expected and to illustrate to the user how to use your spreadsheet model and how to interpret the results.  The company would like a copy of your spreadsheet modelling tool (in an Excel file) and a concise report (approximately 2 pages) that provides them with all the critical information they need to use your model and make sense of the forecasts it provides. The spreadsheet modelling tool should be able to be used by the Operations Manager and peer-reviewed by independent analysts.

In summary our required deliverables are:

  1. A spreadsheet modelling tool that meets client requirements
  2. A report that provides user guidance and detailed analysis/interpretation of the data provided.   (20+10 = 30 marks)

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