skip to primary navigationskip to content

Cambridge Service Alliance

At the forefront of service transformation in the digital era

Studying at Cambridge

 

Flavia Dalia Frumosu

Flavia  Dalia Frumosu

Visiting PhD student


Biography:

Flavia is a PhD candidate at the section for Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark. Her current research lies in the field of big data analysis with applications to the manufacturing industry. She is currently visiting the Cambridge Service Alliance Group under the guidance of Dr Mohamed Zaki.

Flavia’s PhD project is part of MADE (Manufacturing Academy of Denmark) and involves close collaboration with The LEGO Group. The project belongs to MADE’s SPIR 9.2 package which deals with sensor and quality control. The primary scope of the PhD project is to develop proper data analysis methods for process understanding and improvement in injection moulding production at the industry partner’s plants.

Background

Flavia holds a Master of Science in Stochastic Dynamical Modelling from the Technical University of Denmark. Her thesis has been done in collaboration with Lloyd's Register Consulting in the field of machinery dynamics where she applied machine learning and statistics. Flavia also has expertise in the domain of risk and safety where she worked 3 years as a consultant for the Danish consulting engineering company Rambøll.

Cambridge Service Alliance

Welcome to the Cambridge Service Alliance…

  • a unique global alliance between leading businesses and universities;
  • bringing together the world's leading firms and academics;
  • all of whom are devoted to delivering today the tools, education and insights needed for the complex service solutions of tomorrow.

LinkedIn

RSS Feed Latest news

Understanding business models in the construction sector

Nov 25, 2020

What’s standing in the way of offsite manufacturing? For decades, the construction sector has been hailing it as the next big thing but we have yet to see it really taking off. Why is that, when the technologies and processes already exist? Dr Zakaria Dakhli believes it is due to a fundamental incompatibility between business models and it is only when this has been fully understood that the long-awaited transformation can take place.

A machine learning approach to quality control

Nov 14, 2020

Most of the products we take for granted contain huge numbers of components assembled in multiple stages by different manufacturers. Quality control is vital throughout the assembly process with rigorous testing required at every step.

Digital twins: driving business model innovation

Nov 06, 2020

For B2B firms struggling to reap the rewards of digitalisation, could digital twins be the way forward? In this article, CSA's Dr Erika Pärn and colleagues from the Fraunhofer Institute and Technische Universität in Dortmund, explore the relationship between this emerging technology and business model innovation.

Making business model innovation happen: the Business Model Cohesiveness Scorecard

Oct 30, 2020

Digital transformation is failing to live up to its hype, at least as far as productivity gains are concerned. If, as research suggests, a lack of business model innovation is the main culprit, we need a way of making it happen. Dr Chander Velu thinks a balanced scorecard approach could be the answer.

2020 Annual Review

Oct 23, 2020

Read about our latest research in our tenth anniversary Annual Review.

View all news