Mehdi Toloo, Data Development Analysis : Past, Present & Future – 18 Nisan 2019


18:15 – 19:00 Kayıt
19:00 – 19:10 PMI TR’den haberler
19:10 – 19:50 Mehdi Toloo  “DATA ENVELOPMENT ANALYSIS: Past, Present, and Future” Sunumu 1. Bölüm

19:50 – 20:00 Çay-Kahve Arası
20:00 – 20:30 Mehdi Toloo  “DATA ENVELOPMENT ANALYSIS: Past, Present, and Future” Sunumu 2. Bölüm

20:30 – 20:40 Sorular, Cevaplar
20:40 – 20:45 KAPANIŞ


Mehdi Toloo is Full Professor of Systems Engineering and Informatics at the Technical University of Ostrava, Czech Republic. Areas of interest include Operations Research, Decision Analysis, Performance Evaluation, Data Envelopment Analysis, Multi-Objective Programming, and Mathematical Modelling. He has contributed to numerous international conferences as a chair, keynote speaker, presenter, track/session chair, workshop organizer, and member of the scientific committee. Mehdi has lots of experience in leading and collaboration in many successful research projects. He acts as an area editor for Computers & Industrial Engineeringat ELSEVIER. He has written fourteen books and his research has been published in top-tier journals including OMEGA, Energy,European Journal of Operational Research, among others. One of his articles was awarded as “HOT TOP ARTICLE” in Computers & Industrial Engineering.



DATA ENVELOPMENT ANALYSIS: Past, Present, and Future


Data Envelopment Analysis (DEA) is a data-driven non-parametric optimization method proposed for organizational performance evaluation. DEA is a powerful methodology applicable to a wide range of problems in manufacturing, business, and government. The organization under study in DEA is called a DMU (Decision-Making Unit). A DMU is regarded as the entity responsible for converting inputs into outputs whose performance is to be evaluated. In managerial applications, DMUs may include banks, department stores, andsupermarkets, and extend to internet companies and search engines. In engineering, DMUs may take such forms as airplanes or their components such as jet engines. DEA assigns a weight for each input and output and then measures the efficiency score of a DMU as the ratio of the weighted sum of output to the weighted sum of inputs. The weights are derived directly from the data in a manner that gives the best set of weights to each DMU. DEA estimates the production function without the need for prescribing its functional form that isneeded in statistic regression approaches. Value for money is about providing services that are of the right quality, level, andcost that reflect the needs and priority of customers. Efficiency (doing things right), Effectiveness (doing the right things), Economy (doing things at a low price) are 3E factors which can be measured by DEA. This presentation provides an overview of the current state of research and future research directions in DEA.



Teknik (Technical)



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