Volume 45, Number 1, January-March 2011
|Page(s)||63 - 74|
|Published online||01 June 2011|
Flexible measures in production process: A DEA-based approach
Department of Applied Mathematics, Islamic Azad University, Rasht branch, Rasht, Iran. firstname.lastname@example.org
2 Operations & Information Management Group, Aston Business School, Aston University, Birmingham B4 7ET, UK. email@example.com
Accepted: 15 April 2011
Data envelopment analysis (DEA) has been proven as an excellent data-oriented efficiency analysis method for comparing decision making units (DMUs) with multiple inputs and multiple outputs. In conventional DEA, it is assumed that the status of each measure is clearly known as either input or output. However, in some situations, a performance measure can play input role for some DMUs and output role for others. Cook and Zhu [Eur. J. Oper. Res. 180 (2007) 692–699] referred to these variables as flexible measures. The paper proposes an alternative model in which each flexible measure is treated as either input or output variable to maximize the technical efficiency of the DMU under evaluation. The main focus of this paper is on the impact that the flexible measures has on the definition of the PPS and the assessment of technical efficiency. An example in UK higher education intuitions shows applicability of the proposed approach.
Mathematics Subject Classification: 90B030 / 90B060
Key words: Data envelopment analysis / efficiency / flexible measure
© EDP Sciences, ROADEF, SMAI, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.