skip to primary navigationskip to content

Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge

Taiwan - Manufacturing Servitization Programme

last modified Feb 16, 2015 10:08 AM
Special interest group of Taiwanese industrial firms to attend the Cambridge Service Design Programme.

Progressively, economies are placing strong emphasis on learning how to increase their services growth, particularly in the industrial sectors. The Minister of Economic Affairs from Taiwan, Dr. Chia-Juch Chang highlighted the importance of services growth in the Taiwanese economy. The Taiwanese Department of Economic Affairs, with the support of the China Productivity Center, has organized a special interest group of Taiwanese industrial firms to attend the Cambridge Service Design Programme. This programme will run in summer at Cambridge University.

RSS Feed Latest news

Webinar - High-Quality Prediction Intervals for Deep Learning

Jun 11, 2018

11 June 2018 - High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach - by Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely

Theme Update - Blockchains in Smart Services

Jun 06, 2018

In May, Veronica and her team worked very hard on the first practical phase of the project – the Codification of the Blockchain Prototype for the CAT/Perkins’ Supply Chain.

Project Update - OMMS: the Wireless Micro-Factory that will Treat People with Cancer

Jun 06, 2018

The OMMS micro-factory project lead by Dr Veronica Martinez made a great progress this month.

June 2018 Newsletter

Jun 04, 2018

Find out what the Cambridge Service Alliance have been doing and how you can get involved.

Rare-events classification: An approach based on Genetic Algorithm and Voronoi Tessellation

May 31, 2018

by Abdul Rauf Khan, Mohamed Zaki, Henrik Schiøler, and Murat Kulahci. The paper was accepted at 'The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)', a leading international conference in the areas of knowledge discovery and data mining (KDD). In this paper, Mohamed and co-authors propose a novel strategy for data mining based on partitioning of the feature space through Voronoi tessellation and Genetic Algorithm, where the latter is applied to solve a combinatorial optimization problem.

View all news

Upcoming events

Shift to Services Executive Education Programme

Nov 07, 2018

IfM, Cambridge, UK

Ecosystems Strategy One Day Course

Nov 15, 2018

IfM, Cambridge

Upcoming events