Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/151884
Title: SLACKS-BASED MEASURE OF EFFICIENCY IN NETWORK DATA ENVELOPMENT ANALYSIS
Authors: CANTOR VICTOR JOHN MACARAEG
ORCID iD:   orcid.org/0000-0002-4331-219X
Keywords: Data envelopment analysis, Efficiency, Network DEA, Slacks-based measure
Issue Date: 16-Aug-2018
Citation: CANTOR VICTOR JOHN MACARAEG (2018-08-16). SLACKS-BASED MEASURE OF EFFICIENCY IN NETWORK DATA ENVELOPMENT ANALYSIS. ScholarBank@NUS Repository.
Abstract: The traditional radial data envelopment analysis (DEA) models treat decision making units (DMUs) as black boxes whose internal structures are ignored, and measure input and output changes proportionally. Meanwhile, network DEA models consider the internal structure of a DMU as a network system where sub-processes are connected by intermediate products aside from consuming main inputs and producing final outputs. The network slacks-based measure (NSBM) is a non-radial network DEA approach suitable for measuring efficiencies when inputs and outputs may change non-proportionally. However, existing NSBM models failed to adhere to three important efficiency measurement issues: (a) able to properly define overall and divisional efficiencies, (b) able to arrive with Pareto-Koopmans efficiency status, and (c) able to show equivalence of primal (multiplier) and dual (envelopment) forms of the network DEA model. This study developed an SBM-based network DEA model that addresses these issues and showed its applicability using three real-world applications.
URI: http://scholarbank.nus.edu.sg/handle/10635/151884
Appears in Collections:Ph.D Theses (Open)

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