Finding efficient assignments: An innovative DEA approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F14%3A86092183" target="_blank" >RIV/61989100:27510/14:86092183 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.measurement.2014.09.014" target="_blank" >http://dx.doi.org/10.1016/j.measurement.2014.09.014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.measurement.2014.09.014" target="_blank" >10.1016/j.measurement.2014.09.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Finding efficient assignments: An innovative DEA approach

Popis výsledku v původním jazyce

Finding and classifying all efficient assignments for a Multi-Criteria Assignment Problem (MCAP) is one of the controversial issues in Multi-Criteria Decision Making (MCDM) problems. The main aim of this study is to utilize Data Envelopment Analysis (DEA) methodology to tackle this issue. Toward this end, we first state and prove some theorems to clarify the relationships between DEA and MCAP and then design a new two-phase approach to find and classify a set of efficient assignments. In Phase I, we formulate a new Mixed Integer Linear Programming (MILP) model, based on the Additive Free Disposal Hull (FDH) model, to gain an efficient assignment and then extend it to determine a Minimal Complete Set (MCS) of efficient assignments. In Phase II, we use the BCC model to classify all efficient solutions obtained from Phase I as supported and non-supported. A 4x4 assignment problem, containing two cost-type and single profit-type of objective functions, is solved using the presented approac

Název v anglickém jazyce

Finding efficient assignments: An innovative DEA approach

Popis výsledku anglicky

Finding and classifying all efficient assignments for a Multi-Criteria Assignment Problem (MCAP) is one of the controversial issues in Multi-Criteria Decision Making (MCDM) problems. The main aim of this study is to utilize Data Envelopment Analysis (DEA) methodology to tackle this issue. Toward this end, we first state and prove some theorems to clarify the relationships between DEA and MCAP and then design a new two-phase approach to find and classify a set of efficient assignments. In Phase I, we formulate a new Mixed Integer Linear Programming (MILP) model, based on the Additive Free Disposal Hull (FDH) model, to gain an efficient assignment and then extend it to determine a Minimal Complete Set (MCS) of efficient assignments. In Phase II, we use the BCC model to classify all efficient solutions obtained from Phase I as supported and non-supported. A 4x4 assignment problem, containing two cost-type and single profit-type of objective functions, is solved using the presented approac

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Measurement

ISSN

0263-2241

e-ISSN

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Svazek periodika

Neuveden.

Číslo periodika v rámci svazku

58

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

448-458

Kód UT WoS článku

000344485600052

EID výsledku v databázi Scopus

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