Solving the Bi-Objective Integer Programming: A DEA Methodology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F14%3A86092171" target="_blank" >RIV/61989100:27510/14:86092171 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CoDIT.2014.6996868" target="_blank" >http://dx.doi.org/10.1109/CoDIT.2014.6996868</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CoDIT.2014.6996868" target="_blank" >10.1109/CoDIT.2014.6996868</a>
Alternative languages
Result language
angličtina
Original language name
Solving the Bi-Objective Integer Programming: A DEA Methodology
Original language description
Finding and classifying all efficient solutions for a Bi-Objective Integer Linear Programming (BOILP) problem is one of the controversial issues in Multi-Criteria Decision Making problems. The main aim of this study is to utilize the well-known Data Envelopment Analysis (DEA) methodology to tackle this issue. Toward this end, we first state some propositions to clarify the relationships between the efficient solutions of a BOILP and efficient Decision Making Units (DMUs) in DEA and next design a new two-stage approach to find and classify a set of efficient solutions. Stage I formulates a two-phase Mixed Integer Linear Programming (MILP) model, based on the Free Disposal Hull (FDH) model in DEA, to gain a Minimal Complete Set of efficient solutions. Stage II uses a variable returns to scale DEA model to classify the obtained efficient solutions from Stage I as supported and non-supported. A BOILP model containing 6 integer variables and 4 constraints is solved as an example to illustra
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2014 International Conference on Control, Decision and Information Technologies (CoDIT) : Université de Lorraine, France LCOMS, Metz, November 3-5, 2014
ISBN
978-1-4799-6773-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
60-64
Publisher name
IEEE
Place of publication
Vienna
Event location
Metz
Event date
Nov 3, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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