Stakeholder : We are representing Quantas Airlines, one of Australia’s largest airline companies, in this
project.
Business objective : Our task here is to forecast the number of aircraft that Quantas needs to lease in order to satisfy all its passenger and cargo demand.
Inputs : The inputs that we have are the number of passengers and the amount of cargo (freight and mail) that was handled by Australian airports every month for the last 30 years.
This report focusses on creating monthly forecasts of suicides using firearms for the year 2015.
Action Alliance is a big organization with operations in various social areas. With such large
requirements of contractual work force, there is huge scope of cost savings by efficient human
resource allocation.
This forecasting exercise predicts with 95% accuracy, monthly suicides involving firearms. The
model also predicts the deaths by gender, age and location of death. With a year’s view of the
Problem Description: FMCG companies like Nestle face trouble in forecasting demand for smaller
regions which comprises nearly 50% of their business and is highly critical. This is due to high volatility in
demand. Due to this problem more often than not the sales force in these regions face a situation
wherein they are either short of inventory and unable to meet demand or have piled up inventory at
warehouses. A model that effectively forecasts sales can be tested on a small region (in this case
Prof. Galit Shmueli, Institute of Service Science, College of Technology Management, National Tsing Hua University, 101 Kuang Fu Road Sec. 2, Hsinchu 30013 Taiwan
