DEA efficiency analysis involving multiple production processes

This article addresses Data Envelopment Analysis (DEA) efficiency analysis in organizations with multiple production processes. It shows how to measure the impact on an organization's overall efficiency of (a) inefficient and superefficient subunits and (b) the efficiency with which input resources are allocated to the subunits. It introduces a simple model for efficiently allocating inputs among subunits and applies the entire analytical process to a large urban transit agency.

[1]  Sonali Tandon,et al.  Improving the Efficiency of Metropolitan Area Transit by Joint DEA of Its Multiple Providers , 2009 .

[2]  Valentin Zelenyuk,et al.  Measuring potential gains from reallocation of resources , 2007 .

[3]  John E. Beasley,et al.  Allocating fixed costs and resources via data envelopment analysis , 2003, Eur. J. Oper. Res..

[4]  John M. Gleason,et al.  Technical efficiency bias in data envelopment analysis caused by intra-output aggregation , 2007 .

[5]  Sebastián Lozano,et al.  CENTRALISED TARGET SETTING FOR REGIONAL RECYCLING OPERATIONS USING DEA , 2004 .

[6]  S. Lozano,et al.  Centralized Resource Allocation Using Data Envelopment Analysis , 2004 .

[7]  M. Mancebón,et al.  The efficiency of the Spanish police service: an application of the multiactivity DEA model , 2002 .

[8]  John M. Gleason,et al.  Technical efficiency bias caused by intra-input aggregation in data envelopment analysis , 2005 .

[9]  Ming-Miin Yu,et al.  Measuring the efficiency and return to scale status of multi-mode bus transit – evidence from Taiwan's bus system , 2008 .

[10]  John M. Gleason,et al.  Measuring efficiency in allocating inputs among outputs with DEA , 2006 .

[11]  Valentin Zelenyuk,et al.  Input aggregation and technical efficiency , 2002 .

[12]  Leon S. Lasdon,et al.  Design and Use of the Microsoft Excel Solver , 1998, Interfaces.

[13]  Rolf Färe,et al.  Aggregation bias and its bounds in measuring technical efficiency , 2004 .

[14]  Loren W. Tauer.  Input aggregation and computed technical efficiency , 2001 .

[15]  Nicholas Georgescu-Roegen,et al.  Economics of Production. , 1928, Nature.

[16]  Sebastián Lozano,et al.  Centralized DEA models with the possibility of downsizing , 2005, J. Oper. Res. Soc..

[17]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[18]  Lei Fang,et al.  Resource allocation based on the DEA model , 2008, J. Oper. Res. Soc..

[19]  D. Barnum,et al.  Biases in technical efficiency scores caused by intra-input aggregation: mathematical analysis and a DEA application using simulated data , 2006 .