Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods

Data envelopment analysis ( DEA) and multiple objective linear programming ( MOLP) are tools that can be used in management control and planning. Whilst these two types of model are similar in structure, DEA is directed to assessing past performances as part of management control function and MOLP t...

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Bibliographic Details
Published in:European journal of operational research Vol. 195; no. 1; pp. 205 - 222
Main Authors: Yang, Jian-Bo, Wong, Brandon Y.H., Xu, Dong-Ling, Stewart, Theodor J.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 16.05.2009
Elsevier
Elsevier Sequoia S.A
Series:European Journal of Operational Research
Subjects:
Applied sciences
Data envelopment analysis
Data envelopment analysis Multiple objective linear programming Minimax method Tradeoff analysis Performance assessment
Decision making models
Decision theory. Utility theory
Exact sciences and technology
Firm modelling
Linear programming
Management controls
Mathematical programming
Mathematics
Minimax method
Multiple objective linear programming
Nonparametric inference
Operational research and scientific management
Operational research. Management science
Performance assessment
Probability and statistics
Sciences and techniques of general use
Statistics
Studies
Tradeoff analysis
Tradeoff analysis
Performance assessment
Multiple objective linear programming
Minimax method
Data envelopment analysis
Performance evaluation
Dual models
Decision making
Multiobjective programming
Non parametric estimation
Linear programming
Modeling
Management planning
Preference
Minimax problem
Planning
ISSN:0377-2217, 1872-6860
Online Access:Get full text
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Summary:Data envelopment analysis ( DEA) and multiple objective linear programming ( MOLP) are tools that can be used in management control and planning. Whilst these two types of model are similar in structure, DEA is directed to assessing past performances as part of management control function and MOLP to planning future performance targets. This paper is devoted to investigating equivalence models and interactive tradeoff analysis procedures in MOLP, such that DEA-oriented performance assessment and target setting can be integrated in a way that the decision makers’ preferences can be taken into account in an interactive fashion. Three equivalence models are investigated between the output-oriented dual DEA model and the minimax reference point formulations, namely the super-ideal point model, the ideal point model and the shortest distance model. These models can be used to support efficiency analysis in the same way as the conventional DEA model does and also support tradeoff analysis for setting target values by individuals or groups. A case study is conducted to illustrate how DEA-oriented efficiency analysis can be conducted using the MOLP methods and how such performance assessment can be integrated into an interactive procedure for setting realistic target values.
Bibliography:SourceType-Scholarly Journals-1
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ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2008.01.013