Data Envelopment Analysis and Effective Performance Assessment

Data Envelopment Analysis and Effective Performance Assessment

Farhad Hossein Zadeh Lotfi (Islamic Azad University, Iran), Seyed Esmaeil Najafi (Islamic Azad University, Iran) and Hamed Nozari (Islamic Azad University, Iran)
Indexed In: SCOPUS
Release Date: September, 2016|Copyright: © 2017 |Pages: 365
ISBN13: 9781522505969|ISBN10: 1522505962|EISBN13: 9781522505976|DOI: 10.4018/978-1-5225-0596-9


For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations management assessment.

Data Envelopment Analysis and Effective Performance Assessment addresses the myriad of practical uses and innovative developments of DEA. Emphasizing the importance of analyzing productivity by measuring inputs, goals, economic growth, and performance, this book covers a wide breadth of innovative knowledge. This book is essential reading for managers, business professionals, students of business and ICT, and computer engineers.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Analytical Hierarchy Process
  • Analytical Network Process
  • Decision Making
  • Performance Evaluation
  • Preference Aggregation
  • Preference Voting
  • Supplier Efficiency
  • Supply Chain Management
  • Total Factor Productivity

Reviews and Testimonials

This title presents research from nine contributors across diverse backgrounds from mathematics and engineering to commerce and management about data analysis to improve organizational processes and productivity. This book aims to assist managers, business professionals, students, and IT professionals in improving business information systems and organizational analytics. Topics covered include analytical hierarchy and analytical network processes, decision making, performance evaluation, preference aggregation and voting, supplier efficiency, supply chain management, total factor productivity, and more.

– Protoview Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Farhad Hosseinzadeh Lotfi is currently a full professor in Mathematics at the Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran. In 1991, he received his undergraduate degree in Mathematics at Yazd University, Yazd, Iran. He received his MSc in Operations Research at IAU, Lahijan, Iran in 1995 and PhD in Applied Mathematics (O.R.) at IAU, Science and Research Branch, Tehran, Iran in 1999. His major research interests are operations research and data envelopment analysis. He has been Advisor and Co-advisor of 46 and 31 Ph.D. dissertations, respectively. He has published more than 300 scientific and technical papers in leading scientific journals, including European Journal of Operational Research, Computers and Industrial Engineering, Journal of the Operational Research Society,Applied Mathematics and Computation, Applied Mathematical Modelling, Mathematical and Computer Modelling, and Journal of the Operational Research Society of Japan, among others. He is Editor-in-Chief and member of editorial board of Journal of Data Envelopment Analysis and Decision Science. He is also manager and member of editorial board of International Journal of Industrial Mathematics.
Esmail Najafi is an Assistant Professor of Industrial Engineering Department at the Islamic Azad University, Science and Research Branch in Tehran, Iran. He received his B.A. in Power and Water University of Technology (PWUT), his M.S. in Islamic Azad University. and his Ph.D. in Industrial Engineering from Science and Research Branch in Tehran, Iran. His research interests decision making, Data Envelopment Analysis, Engineering management and strategic management . His published research articles appear in journal or intelligent and fuzzy system, Mathematical Problems in Engineering, international journal of data envelopment analysis.
Hamed Nozari was born in Iran, in 1984. He received the BS. Degree in Mechanical engineering (fluid mechanic) in 2009, and continued his educations in Industrial Engineering (production planning and Socioeconomics engineering) in MSc and PhD levels. He has taught various courses in the field of Industrial Engineering and has published many books and papers as well. Now he is a researcher in the field of operations research and metaheuristic algorithms.