Coupling distinct MOLP interactive approaches with a novel DEA hybrid model

We propose a modelling framework which allows considering different priorities and individual expansion and contraction scales for distinct types of inputs and outputs, through the Weighted Russell Directional Distance Model (WRDDM). An equivalence model between the WRDDM and the super‐ideal point m...

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Bibliographic Details
Published in:International transactions in operational research Vol. 29; no. 5; pp. 3207 - 3228
Main Authors: Henriques, Carla, Luque, Mariano, Marcenaro‐Gutierrez, Oscar
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.09.2022
Subjects:
Best practice
Data envelopment analysis
Decision making
interactive approaches
Linear programming
multiobjective linear programming
Multiple objective analysis
Operations research
Process management
weighted Russell directional distance model
ISSN:0969-6016, 1475-3995
Online Access:Get full text
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Summary:We propose a modelling framework which allows considering different priorities and individual expansion and contraction scales for distinct types of inputs and outputs, through the Weighted Russell Directional Distance Model (WRDDM). An equivalence model between the WRDDM and the super‐ideal point model has also been established, which is then incorporated into several interactive Multiobjective Linear Programming (MOLP) approaches. The use of these diverse interactive methodologies allows obtaining the benchmark Decision Making Units (DMUs) which best suit the decision maker's (DM) preferences. This feature can be useful since traditional Data Envelopment Analysis (DEA) models tend to completely neglect the DM's preferences and value judgements in the computation of the DMUs used as a reference of best practices. Therefore, with this tool the DMs have the possibility of translating into the decision‐making process management constraints (namely, budgetary) and aspiration levels regarding the inputs and outputs, providing much more realistic support for actual decision‐making.
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ISSN:0969-6016
1475-3995
DOI:10.1111/itor.12879