DEA and SFA courses: Aston University, UK, January 2018

Courses on: Performance Measurement Using

Data Envelopment Analysis (DEA) &

Stochastic Frontier Analysis (SFA)

Date: January 16-17, 2018 (DEA)
January 18-19, 2018 (SFA)
Location: Aston Business School, Birmingham, UK
Presenters: Professor Emmanuel Thanassoulis
Professor Ali Emrouznejad
Dr Dimitris Giraleas
Registration: http://bit.do/AGEP

 

DEA / SFA Course

DEA and SFA courses

DEA course at Aston University, January 2018

Aston Group of Efficiency and Productivity (AGEP)

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

Date: 16 and 17 January 2018(Register before 1st December 2017 and save £200.)
For registration and further details please visit: http://www.aston.ac.uk/aston-business-school/research/groups/oim/agep/ 

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: http://www.aston.ac.uk/aston-business-school/research/groups/oim/agep/

SFA course at Aston University, January 2018

Aston Group of Efficiency and Productivity (AGEP)

Courses on:Aston Group of Efficiency and Productivity Stochastic Frontier Analysis (SFA) at Aston University, UK

Date: 18 and 19 January 2018 (Register before 1st December 2017 and save £200.)
For registration and further details please visit: http://www.aston.ac.uk/aston-business-school/research/groups/oim/agep/ 

For the Data Envelopment Analysis (DEA) course see: http://deazone.com/en/agep-dea-jan-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.

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.

For registration and further details please visit: http://www.aston.ac.uk/aston-business-school/research/groups/oim/agep/

special issue of “CEJOR- Central European Journal of Operations Research”

On behalf of the editors I like to inform you that deadline for submission to the special issue of “CEJOR- Central European Journal of Operations Research” is extended to end of October.

All manuscripts should be submitted online at https://www.editorialmanager.com/cjor , when submitting the manuscript please select the article type “SI: Performance and Efficiency Evaluation”.

Best regards,
Ali Emrouznejad

Innovative applications of data envelopment analysis, Dubai, November 2017

1st AUE International Research Conference: “Creative Business and Social Innovation”
15th-16th November, 2017, Dubai

Website: http://aueirc.aue.ae/

Submission: https://easychair.org/cfp/AUEIRC2017 (deadline 1st October)

 

Session title: Innovative applications of data envelopment analysis
Session organizer: Dr Panagiotis D. Zervopoulos, Department of Management, University of Sharjah, United Arab Emirates

Email: pzervopoulos@sharjah.ac.ae

Session details: The emphasis of this session is on the application of data envelopment analysis (DEA) to real-world cases aiming to shed light on operational/managerial perspectives. DEA is a widely used technique for measuring the relative performance of units and benchmarking. Since its inception (1978), thousands of theoretical and empirical works have been published. DEA-based empirical studies provide insightful managerial implications and facilitate decision making. This session welcomes real-world DEA-based empirical studies from a wide range of areas, such as banking, finance, health care, government, education, energy, environment, and tourism. A particular aim of this session is to attract empirical studies from the Gulf Cooperation Council (GCC) countries and other geographical locations to ensure the broadest possible range of contributions. Cross-country applications also lie within the scope of this session

DEA40: International conference of DEA [Celebrating 40th Anniversary of DEA]

DEA40: International conference of DEA [Celebrating 40th  Anniversary of DEA]

!! Details will be available soon !!

A course on Benchmarking and productivity analyses with economic applications, September 2017

 

Benchmarking and productivity analyses with economic applications  – PhD courses in Denmark  

PhD School in Economics and Management at CBS

Course dates: 25 September 2017 – 29 September 2017
Lecturer: Professor Peter Bogetoft, Department of Economics, CBS
Place/Venue:Porcelænshaven 18B
City: Frederiksberg
ECTS: 5 points
Link: https://ssl1.peoplexs.com/Peoplexs22/Candidat…

 

Prerequisites
A basic knowledge of quantitative methods and statistics is desirable, but the course will refresh the participants’ prior knowledge as we go along. During the course, we will also train the use of opens source software like R. Participants are encouraged to bring their own notebooks to facilitate subsequent usage.
Aim
The aim of this course is to introduce the participants to the theory and practice of performance evaluations and their usages in research, policy analyses, incentive schemes and regulation.
Specifically, the objectives are
1. To provide a basic understanding of state-of-the-art benchmarking, efficiency and productivity analyses methods using Data Envelopment Analyses (DEA), Stochastic Frontier Analyses (SFA) and related methods.
2. To provide training in the actual usage of such methods and associated software on different applications
3. To discuss the usage of performance evaluations to evaluate economic systems and to design decision support, reallocation mechanisms and incentive systems.Background: Productivity and efficiency analysis is a rapidly growing, interdisciplinary field of research in economics, management sciences, and statistics. In addition to the empirical research on the magnitude, direction, and sources of productivity growth, this literature has produced quantitative methods such as data envelopment analysis (DEA) and stochastic frontier analysis (SFA), which have diffused beyond their traditional confinement to production settings. These tools are used in many different application areas including environment, development studies, education, finance, health care studies, natural resource management, public economics, and sports studies, among other fields. The tools and approaches of productivity analysis are equally well suited for micro-level analyses of firms and other decision-making units as well as macro-level cross-country comparisons. Integration with incentive theory, mechanism design and decision support systems makes the tools relevant also in normative applications
Course content
The course comes in two parts.

Base course
Day 1 : Welcome * Introduction and overview ?* Production and costs models ?* Firm behavior ?* Efficiency concepts * Exercises *Installation of software
Day 2 : Data Envelopment Analyses (DEA) * Non-discretionary, environmental, quality etc variables * Dual models * Game interpretations * Exercises.
Day 3 : Statistical inference in DEA * Bootstrapping * Two stage models * Stochastic Frontier Analyses (SFA) * Exercises
Day 4 : Reallocation, market and merger analyses * Decision Support Systems * Network models * Exercises
Day 5 :Efficiency and Incentives, * Contracts * Regulation * Yardstick competition, * Auctions * Exercises

Add-on course (Optional)
Individual advice ?* Participants work on own projects * Individual advise on methods, analyses and interpretation of results
Day 6 & 7 : Participants present preliminary results * Additional topics covered depending on interests of participants (e.g. Indices, rational inefficiency, dynamic efficiency, advanced SFA, advanced bootstrapping, regulatory practices, etc).

Teaching style
The base course (5 ETCS) stretches over five days. Each day will consist of lecturing in the morning and conceptual discussions and data exercises in the afternoon.
The optional add-on course (5 ETCS) consists of advise to individuals or groups on specific research projects during a one month period combined with two days of final lecturing and presentations of the participants’ research work.
Lecture plan
Learning objectives
Exam
A course certificate for the base course is granted based on attendance and active participating.
A course certificate for the add-on course is granted based on progress with individual projects and active participation in the in class activities.
Other
When registering for the course please write a few lines on your background in ‘comments’

Call for PAPERS: DEA at OR59 Conference, September, UK

Call for PAPERS: DEA at OR59

Data Envelopment Analysis (DEA) stream at the OR Society Annual UK Conference

12th – 14th, September 2017, Loughborough University, Leicestershire, UK

http://www.DEAzone.com/en/or59

I would like to issue an invitation to take part in the Data Envelopment Analysis and Performance Measurement Stream of the OR59 Conference. This conference will be held at the University of Portsmouth, Portsmouth, UK from 12th to 14th September 2017. Contributions from both the academic and the non-academic communities are welcome.

 

This stream covers papers on the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, and so on.

 

If you are interested in making a presentation, please submit a title of your talk no later than 30th June 2017 at www.theorsociety.com/or59.

 

Further details about the DEA stream is available at http://www.DEAzone.com/en/or59

 

Deadline for submission abstract:         July 21, 2017

Deadline for early registration fee:         July 26, 2017

Conference date:                                       September 12-14, 2017

Conference Venue:                                    Loughborough University, Leicestershire, UK

Kind regards,

Ali Emrouznejad

Professor of Business Analytics
Operations & Information Management Group

Aston Business School
Aston University
Birmingham B4 7ET, UK

[Data Envelopment | DEA Software | Research Gate]

Special issue of Socio-Economic Planning Sciences on “Indices for the Betterment of the Public”

Socio-Economic Planning Sciences: The International Journal of Public Sector Decision-Making

Special issue on Indices for the Betterment of the Public

Guest editors: 

Vincent Charles, Director of Research (Intl. Affairs), CENTRUM Católica Graduate Business School, Peru

Ali Emrouznejad, Aston Business School, Aston University, Birmingham, UK

Michael P. Johnson, McCormack Graduate School of Policy and Global Studies, University of Massachusetts Boston, Boston, MA, USA

Further details: please click here.

Over the years, the quest for a better society has led to the birth of a variety of composite indices of development, from the gross domestic product to the happiness index. These indices usually integrate various social, cultural, psychological, and political aspects and are considered of vital importance for evaluating a country’s level of development and for assessing the impact of policy specially in public sector. Overall, they consist of numerical measures that describe the well-being of both the individual and the society as a whole.

The Special Issue of Socio-Economic Planning Sciences encourages original research articles of high quality that provide innovative quantitative and qualitative methodologies based on optimization/non-optimization, statistical learning, econometrics, and heuristics.

Topics include but are not limited to:

•             Big Mac Index

•             Competitiveness Index

•             Corruption Perception Index

•             Country Risk Index

•             Democracy Index

•             Doing Business Index

•             GINI Index

•             Global Entrepreneurship Index

•             Global Marketing Index

•             Happiness Index

•             Human Development Index

•             Index of Economic Freedom

•              Social Progress Index, and so on

As such, the Special Issue focuses on the conceptualization and development of new indices for the betterment of the public and/or novel algorithms/approaches that integrate or refine the above indices and/or novel ways of using the existing indices to improve the public policies that serve the greater good. Moreover, this special issue is intended for articles that go beyond purely suggesting a new/modern/revised index with the economics view and conceivably validating it using real life vital data sets; hence, articles that eventually help policy-makers to not only gain an advanced understanding of the ways that would unleash greater long-term social success, but also propose strategies that would create the conditions for the betterment of the public are encouraged.

Contributions from both the academic and the practitioner communities are encouraged. Submitted articles should include a separate section on implications for public policy and, among others, the section should discuss the tie between the proposed indices and the decision strategies in view of public policy.

Important Dates

31 January 2018 : Submission Deadline
30 April 2018 : Notification of first round of review results
30 September 2018 : Final acceptances after second round of review

Editorial Process

Manuscripts need to be submitted via https://www.journals.elsevier.com/socio-economic-planning-sciences by choosing Article Type “Indices”. Early submission recommended, referee process starts once the paper received, accepted papers will be published individually online as they are accepted.  Submitted papers will be peer-reviewed in the same manner as any other submission to a leading international journal. The major acceptance criterion for a submission is the quality and originality of the contribution.

Call for Papers: (Informs) Annual conference – Young Researcher’s sessions

Dear colleagues:

I am writing you to invite you to the Institute for Operations Research and the Management Sciences (Informs) Annual conference that will be held from October 22-25, 2017 in Houston, TX.  This conference brings together multiple disciplines include Business, Engineering, Economics, among others. I am organizing the Productivity and Data Envelopment Analysis Track whose attendees are broadly interested production economics, both deterministic and stochastic approaches.

http://meetings2.informs.org/wordpress/houston2017/ 

I would like to invite you to submit an abstract to one of these sessions. For some of you, your positive response in the past has helped us organize some very good sessions. I hope you have enjoyed the sessions too. For others I would like to invite you to join for the first time.

This year John Ruggiero, Ole B. Olesen and I will organize a couple of Young Researcher’s sessions. If you are interested to participate in these special sessions please let me know. The format of these sessions is a bit different. We will organize 10 minutes constructive critique and discussion as a follow up of your presentation. However, this requires that we get your presentation by email at least a week before the conference. Unfortunately, Informs will not provide funding for young researchers registration fee. Please don’t hesitate to contact us if you have questions.

If you plan to submit an abstract to this track, please provide me your name and email address and tentative title. I will then send you a formal invitation through the conference system and instructions for you to submit the abstract. Please email me your response by August 1st.

I look forward to a positive response. My apologizes for cross-postings.

Regards,

Andy Johnson?

*************************************************
Andrew Johnson, Ph.D.
Associate Professor
Industrial and Systems Engineering
Texas A&M University
4033 ETED
3131 TAMU
College Station, Texas 77843-3131
Phone: 979.458.2356
ajohnson@tamu.edu

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