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Aston Group of Efficiency and Productivity (AGEP)

 

Courses on: Performance Measurement Using Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) at Aston University, UK

Dates:

DEA course: 16-17th January 2018
SFA course: 18-19th January 2018

Register before 1st December 2017 and save £200
For registration please CLICK HERE.

The aim of these two courses is to enable participants to understand how Data Envelopment Analysis (DEA) and Econometric Methods including Stochastic Frontier Analysis (SFA) 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.

Course on Performance Measurement using Data Envelopment Analysis (DEA)          

Date: January 16-17, 2018

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.

Course on Stochastic Frontier Analysis (SFA)                                                                                 

Date: January 18-19, 2018

Participants will be introduced to the key underlying concepts of econometric methods in the context of efficiency and productivity analysis and to the types of information on performance that can be derived. Participants will also be introduced to the limitations of each approach and given advice how to use the methods appropriately, avoiding pitfalls. The course will cover Production and Cost functions, Corrected OLS regression (COLS), Modified OLS regression (MOLS), Stochastic Frontier Analysis (SFA) and panel data methods for efficiency and productivity analysis. Lectures will normally be followed by hands on sessions using sample data worked on with appropriate software.

Day 1- Morning

  • Introduction to econometric models for the modelling of production and cost functions.
  • Introduction to STATA – Hands-on exercise using simple data sets.

Day 1- Afternoon

  • Deterministic approaches for efficiency measurement: Corrected OLS (COLS) and Modified OLS (MOLS)
  • Hands-on case study: The use of COLS for measuring efficiency.

Day 2- Morning

  • Introduction to Stochastic Frontier Analysis (SFA)
  • Utilising data over time: An introduction to panel data models for efficiency and productivity measurement

Day 2- Afternoon

  • Hands-on case study: The use of SFA for measuring efficiency
  • Illustrative applications of SFA drawn from the delegates’ work experience and open discussion

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

Dr Dimitris Giraleas Dimitris is Lecturer in Business Statistics in Aston Business School, Birmingham, teaching Statistics for Business, Data Envelopment analysis and Advance Performance Measurement in the Postgraduate level. Prior to joining academia, Dimitris was a business and economics consultant with more than 10 years of experience. His main areas of expertise are Performance Management, Economic Regulation and Econometric and Mathematical Modelling.


Who should participate?                                                                                                                                      

Those interested in assessing performance of organisational units, for instance, banking, health services , education, regulation, and governance.

How is the program delivered?                                                                                                                       

The teaching is based on lectures, small group working and hands-on use of software. 

Other benefits                                                                                                                                                      

As part of this course you will be given one-month free licence for PIM-DEA software, limited to 50 DMUs. You will also be given a 10% discount voucher should you require to buy a permanent licence of the PIM-DEA software within 3 months of the course.

Fees, accommodation and reserving a place                                                                                                            

  • Payment is required in full prior to the commencement of the course and can be made via PayPal either through a PayPal account or, if you do not have one, by major credit/debit cards. 
  • Fee covers all teaching materials, coffee breaks and lunch. 
  • By registering you accept you have read and agree to the "Short Course Terms and Conditions".
  • Accommodation is not included; there is accommodation in campus or nearby. For information please visit: http://www.conferenceaston.co.uk/book-hotel-room/    
  • If there is any issue with the payment system please contact Prof Emmanuel Thanassoulis. 

   Early
Before
Registration
 30-11-2017 
Regular
From
Registration
01-12-2017 
  Students Non-Students  Students Non-Students
 DEA – course (2 days)
(
16-17th January 2018)

£550

£1100

£600

£1200

 SFA –  course (2 days) 
(18-19th January 2018)

£550

£1100

£600

£1200

 



Special price if you book for
both 
DEA and SFA Courses (4 days) 

£1000

£2000

£1100

£2200

 Payment options
  • You can pay by PayPal, debit cards or use major credit cards including VisaMaster Card, or American Express.  
  • For registration please CLICK HERE.

More Information:                                                                                                                                                    

For more information on course content or registration please contact Prof Emmanuel Thanassoulis.   

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