Network DEA smallest improvement approach

Sebastián Lozano and Somayeh Khezri

Omega, 2021, vol. 98, issue C

Abstract: In this paper the smallest improvement DEA approach to general networks of processes is proposed. The corresponding projection direction is endogenously computed by the model so that the relative distance to the frontier is minimal. Both the cooperative and the non-cooperative scenarios for the intermediate products are considered. For the cooperative case, the computed inefficiency score can be decomposed into the sum of the inefficiency scores of the different processes. For the non-cooperative scenario, an alternative decomposition based on the inefficiency of the different intermediate products is also presented. The proposed approach has been validated on different network DEA configurations.

Keywords: Network Data Envelopment Analysis; Endogenous directional distance function; Smallest improvement; Efficiency decomposition; Intermediate products inefficiency (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305048319305389
Full text for ScienceDirect subscribers only

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:eee:jomega:v:98:y:2021:i:c:s0305048319305389

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.omega.2019.102140

Access Statistics for this article

Omega is currently edited by B. Lev

More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().