skip to primary navigationskip to content

Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge

 

EPSRC Institutional Sponsorship Grant 2016 - Small Partnership Awards

last modified Nov 30, 2016 10:29 AM
Mohamed Zaki and Abdul Rauf Khan from the CSA awarded a fund to investigate the application of advanced Big Data methods in manufacturing industry.

The research will use inferential analysis based on existing large sensory data. The aim of this project is to improve the production through reliable predictions on the performances of the products that are subjected to several stages of testing and hence shortening the time of testing for an individual product. The research will have access to terabytes of mixed data continuously generated by the sensors at each stage of the testing procedure. Efficient handling of these data sets is itself proven to be a challenging.

Filed under: ,

RSS Feed Latest news

Webinar - Customer Loyalty Predictive Model

Jan 10, 2017

9 January 2017 - The Fallacy of the Net Promoter Score: Customer Loyalty Predictive Model - Mohamed Zaki

Webinar - Feedback from the Frontline

Dec 13, 2016

12 December 2016 - Feedback from the Frontline: Engaging front-line employees in service innovation - Florian Urmetzer

Ecosystems Value Framework Paper

Dec 12, 2016

The December Paper on 'The Ecosystem Value Framework: Supporting Managers to Understand Value Exchange between Core Businesses in Service Ecosystems', by Florian Urmetzer, Veronica Martinez and Andy Neely.

December 2016 Newsletter

Dec 01, 2016

December 2016 Alliance Newsletter

Classification of Noisy Data

Nov 28, 2016

November paper on 'Classification of Noisy Data: An Approach Based on Genetic Algorithms and Voronoi Tessellation' by Abdul Rauf Khan, Henrik Schiøler, Torben Knudsen, Murat Kulahci and Mohamed Zaki

View all news

Upcoming events

Shift to Services Executive Education Programme

Apr 04, 2017

IfM, Cambridge, UK

Cambridge Service Week 2017 - Academic Conference

Oct 05, 2017

IfM, Cambridge, UK

Upcoming events