Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Performance evaluation using data envelopment analysis in the presence of time lags
Date
2007-06-01
Author
Ozpeynirci, Ozgur
Köksalan, Mustafa Murat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
166
views
0
downloads
Cite This
Data Envelopment Analysis (DEA) is a methodology that computes efficiency values for decision making units (DMU) in a given period by comparing the outputs with the inputs. In many applications, inputs and outputs of DMUs are monitored over time. There might be a time lag between the consumption of inputs and the production of outputs. We develop an approach that aims to capture the time lag between the outputs and the inputs in assigning the efficiency values to DMUs. We propose using weight restrictions in conjunction with the model. Our computational results on randomly generated problems demonstrate that the developed approach works well under a large variety of experimental conditions. We also apply our approach on a real data set to evaluate research institutions.
Subject Keywords
Economics and Econometrics
,
Social Sciences (miscellaneous)
,
Business and International Management
URI
https://hdl.handle.net/11511/56617
Journal
JOURNAL OF PRODUCTIVITY ANALYSIS
DOI
https://doi.org/10.1007/s11123-007-0037-7
Collections
Department of Industrial Engineering, Article
Suggestions
OpenMETU
Core
New approaches for performance evaluation using data envelopment analysis
Özpeynirci, Nail Özgür; Köksalan, Murat; Department of Industrial Engineering (2004)
Data Envelopment Analysis (DEA) assigns efficiency values to decision making units (DMU) in a given period by comparing the outputs with the inputs. In many applications, inputs and outputs of DMUs are monitored over time. There might be a time lag between the consumption of inputs and production of outputs. We develop approaches that aim to capture the time lag between the outputs and the inputs in assigning the efficiency values to DMUs. We present computational results on randomly generated problems as w...
Stochastic optimization applied to self-financing portfolio: does bequest matter?
Gazioglu, Saziye; Bastiyali-Hayfavi, Azize (Informa UK Limited, 2010-01-01)
The article studies stochastic optimization of an intertemporal consumption model to allocate financial assets between risky and risk-free assets. We use a stochastic optimization technique, in which utility is maximized subject to a self-financing portfolio constraint. The papers in literature have estimated the errors of Euler equations using data from financial markets. It has been shown that it is sufficient to test the first order Euler equation implied by the model. However, they all assume a constant...
Operational fixed interval scheduling problem on uniform parallel machines
Bekki, Oezguen Baris; Azizoğlu, Meral (Elsevier BV, 2008-04-01)
In this study, we address an operational fixed interval scheduling problem on uniform parallel machines. Our objective is to maximize the total weight of the jobs processed. We show that the problem is NP-hard in the strong sense and develop polynomial time algorithms for some special cases. We propose a branch and bound algorithm that employs dominance conditions and tight bounds. The results of our computational tests have revealed that the algorithm returns optimal solutions for problem instances with up...
SIMULATING CAPITAL INCOME TAXATION AND WELFARE UNDER A DSGE FRAMEWORK
Ünal, Umut (Wroclaw University of Economics and Business, 2018-01-01)
This paper develops a dynamic stochastic general equilibrium (DSGE) model for analyzing the impact of various capital income tax policies in a small open economy populated by households possessing endogenous time preferences. We contribute to the literature by studying the impacts of: i) anticipated tax shocks under stochastically growing output, ii) stochastic tax shocks under deterministic output, on our dynamic general equilibrium framework. With our model's specifications, this is the first attempt to i...
DISPLAYING UNCERTAIN INFORMATION ABOUT PROBABILITY: EXPERIMENTAL EVIDENCE
Morone, Andrea; Özdemir, Özlem (Wiley, 2012-04-01)
Different from previous experiments that used three representations of uncertain information for probabilities: best estimate, interval and sets of probabilities, we use visual display to represent different levels of uncertainty through varying amount of probabilistic information provided to subjects. Results confirm that the individuals willingness to pay is higher when a larger amount of information is available. Further, individuals are found uncertainty averse for high probability of gain and uncertain...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. Ozpeynirci and M. M. Köksalan, “Performance evaluation using data envelopment analysis in the presence of time lags,”
JOURNAL OF PRODUCTIVITY ANALYSIS
, pp. 221–229, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56617.