Premium
Single‐phase slack‐based centralized DEA for resource reallocation
Author(s) -
Yu MingMiin,
Hsiao Bo
Publication year - 2018
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/itor.12210
Subject(s) - data envelopment analysis , computer science , transfer (computing) , efficient frontier , set (abstract data type) , operations research , phase (matter) , homogeneous , process (computing) , production (economics) , efficiency , resource (disambiguation) , mathematical optimization , economics , mathematics , microeconomics , statistics , estimator , chemistry , organic chemistry , portfolio , computer network , combinatorics , parallel computing , financial economics , programming language , operating system
Data envelopment analysis (DEA) is an effective method for measuring the relative efficiency of a set of homogeneous decision‐making units (DMUs). Yu et al.’s study proposed an extended centralized DEA (CDEA) model that utilizes a two‐phase process for reallocating resources to project not only in each DMU (e.g., branch company) but also in the central DMU (e.g., headquarters, central authority) on the production frontier. However, evaluating the two‐phase model using the approach of Yu et al. may present some challenges because of inconsistent benchmarks. To solve this issue, we modified a single‐phase slack‐based CDEA that considers transfer‐in and transfer‐out slacks to facilitate the reallocation and adjustment of resources. Our modified single‐phase slack‐based CDEA is demonstrated with a numerical example illustrating input resource reallocation. Results show that the modified single‐phase CDEA model is effective to deal with a more realistic inconsistency reference set and provide much more reallocation ability than the two‐phase approach.