Online DEA Course
Courses on Performance Measurement Using Data Envelopment Analysis (DEA) – Online
Date: 28 and 29 June 2021 (Register before 15th May 2021 and save £10%.)
For registration and further details please visit: https://dataenvelopment.com/course/
The aim of this course is to enable participants to understand how Data Envelopment Analysis (DEA) can be used to derive measures of efficiency and productivity change over time in complex multi?output multi?input contexts in the production of goods and services.
Apart from the classical DEA models under constant and variable returns to scale, the course will cover models for assessing productivity change over time, for incorporating value judgements in DEA, for target setting and exploiting economies of scale, for dealing with cases where some of the variables obey constant and others varying returns to scale etc. The course will use various areas of application drawn from the interests of the participants to illustrate the models. The PIM DEA software will be used for hands on?sessions by participants.
Day 1- Morning
- Understand principles behind the non-parametric performance measurement
- An illustrative assessment by DEA.
Day 1- Afternoon
- Basic DEA models for measuring efficiency in multi-input multi-output situations.
- Advanced DEA models including Malmquist productivity indices and the use of DEA software.
Day 2- Morning
- Assessment under variable returns to scale, scale efficiency, most productive scale size and target setting.
- Incorporating value judgement in DEA.
Day 2- Afternoon
- Illustrative applications of DEA drawn from the delegates’ work experience.
- Advanced features of PIM-DEA software.
Presenters:
Professor Emmanuel Thanassoulis, Emmanuel is Professor in Management Sciences at Aston Business School and is on the Editorial Board of the European Journal of Operational Research. He is a world authority on Data Envelopment Analysis (DEA) with over 60 refereed publications in the area including the highly influential book Introduction to the Theory and Application of Data Envelopment Analysis: A foundation text with integrated software (Springer) and ‘DEA—The Mathematical Programming Approach to Efficiency Analysis’, in The Measurement of Productive Efficiency and Productivity Growth (Oxford University Press). He has co-developed highly acclaimed DEA Software and has acted as consultant on efficiency and productivity analysis to a variety of organisations, including Sibelga (Belgian gas and electricity distribution operator), Transco, Ofwat, the UK Department for Communities and Local Government and HM Treasury.
Professor Ali Emrouznejad, Ali is a Professor of Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. Dr Emrouznejad is editor of Annals of Operations Research, Associate Editor of Socio-Economic Planning Sciences, Associate Editor of IMA journal of Management Mathematics, Associate Editor of RAIRO Operations Research Journal, Senior Editor of Data Envelopment Analysis journal, and member of editorial boards or guest editor in several other scientific journals. He has published over 100 articles in top ranked journals, he has also published several DEA books including “Performance Measurement with Fuzzy DEA” (Springer) and “Managing Service Productivity” (Springer). He is also co-founder of Performance Improvement Management Software (PIM-DEA), see http://www.DEAzone.com
For registration and further details please visit: https://dataenvelopment.com/course/
