EconPapers    
Economics at your fingertips  
 

Data Envelopment Analysis of systems with multiple modes of functioning

Sebastián Lozano and Gabriel Villa

MPRA Paper from University Library of Munich, Germany

Abstract: Many systems can operate in different modes of functioning. Conventional Data Envelopment Analysis (DEA) would ignore that fact and consider instead that the system is a black box, paying attention just to the overall input consumption and output production. In this paper a more fine-grained approach is proposed consisting of explicitly modelling the different modes of functioning as specific processes and using the observed data on the input consumption and output production in each of the modes of functioning to infer the corresponding mode-specific technology. The system technology results from composing these mode-specific technologies according to the corresponding time allocations. The proposed approach allows computing efficient operating points for every mode of functioning, looking for improvements in the overall system performance. Two efficiency assessment DEA models are presented depending on whether the observed time allocation is maintained or the model is free to modify it.

Keywords: efficiency assessment; multiple modes of functioning; DEA; mode-specific technology; time allocative efficiency (search for similar items in EconPapers)
JEL-codes: C02 C6 C61 C67 (search for similar items in EconPapers)
Date: 2016-10
New Economics Papers: this item is included in nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/76076/1/MPRA_paper_76076.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:76076

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter (winter@lmu.de).

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:76076