(Bilevel) optimization, data analysis and forecasting
     Southampton, 3 - 4 July, 2017

Judy Nolan is a Six Sigma Black Belt at Rolls-Royce, a corporate role that is involved in improvements across the company. Rolls-Royce is a global business providing integrated power systems for use on land, at sea and in the air.

Judy has held a number of analytical roles within Rolls-Royce and other companies that covered safety, market intelligence and credit risk assessment. The roles in Rolls-Royce have covered the functional management of all the forecasting processes across the company. As part of the forecasting role, she has regularly presented at IBF conferences and hosted IBF events at Rolls-Royce. She has recently moved into process improvement and has held a number of process improvement and management roles.

Judy has a Pure Mathematics and Statistics degree from the University of Sheffield and is a Chartered Mathematician and trained in Six Sigma.

TITLE OF TALK: Importance of Data in Forecasting and Inventory Management

ABSTRACT: With the increase in levels of data generated and stored by companies and the ability to analyse this data, it is increasingly important to understand the data supply chain. This is especially important in terms of how this data is communicated and understood.

For forecasting, reliable data is key to creating a reliable and accurate forecast that provides the basis for optimal inventory and supply chain stability.

In this talk, I shall review what data is collected in Rolls-Royce and how this is communicated and used for forecasting and inventory management field.

Key learnings: (1) The power of data for good and bad; (2) Use of data within Rolls-Royce; (3) The key learnings from Rolls-Royce on the use of data

School of Mathematical Sciences, University of Southampton