Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/194672 |
Resumo: | Outsourcing is related to the action which an organization deals with its suppliers through a kind of business contract where a specific activity or service has been hired to be made. The outsourcing of some activities has become a common practice in the industry, nowadays. It reduces costs, significantly, in the production process and, at the same time, adds some values to the business organization. However it is necessary to measure the performance of these activities. Data Envelopment Analysis (DEA) is a non-parametric method useful to measure comparative performance. It has a wide range of applications measuring comparative efficiency. The Analytic Hierarchy Process (AHP) is a multiple criteria decision-making method that uses hierarchic structures to represent a decision problem and then develops priorities for the alternatives based on the decision-maker's judgments. This paper presents an integrated application based on DEA and AHP to evaluate the efficiency of subcontracted companies in a Brazilian aerospace factory. |
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Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industryaerospace industryefficiency and performance analysisoutsourcingDEAAHPOutsourcing is related to the action which an organization deals with its suppliers through a kind of business contract where a specific activity or service has been hired to be made. The outsourcing of some activities has become a common practice in the industry, nowadays. It reduces costs, significantly, in the production process and, at the same time, adds some values to the business organization. However it is necessary to measure the performance of these activities. Data Envelopment Analysis (DEA) is a non-parametric method useful to measure comparative performance. It has a wide range of applications measuring comparative efficiency. The Analytic Hierarchy Process (AHP) is a multiple criteria decision-making method that uses hierarchic structures to represent a decision problem and then develops priorities for the alternatives based on the decision-maker's judgments. This paper presents an integrated application based on DEA and AHP to evaluate the efficiency of subcontracted companies in a Brazilian aerospace factory.Empresa Brasileira Aeronaut SA, Embraer, BrazilUniv Estadual Paulista, Sao Paulo, BrazilUniv Estadual Paulista, Sao Paulo, BrazilSpringerEmpresa Brasileira Aeronaut SAUniversidade Estadual Paulista (Unesp)Ferreira Filho, Angelo J. C. A.Salomon, Valerio A. P. [UNESP]Marins, Fernando A. S. [UNESP]Loureiro, G.Curran, R.2020-12-10T16:33:59Z2020-12-10T16:33:59Z2007-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject819-+Complex Systems Concurrent Engineering: Collaboration, Technology Innovation And Sustainability. Godalming: Springer-verlag London Ltd, p. 819-+, 2007.http://hdl.handle.net/11449/194672WOS:000248899900090Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComplex Systems Concurrent Engineering: Collaboration, Technology Innovation And Sustainabilityinfo:eu-repo/semantics/openAccess2022-02-14T22:59:26Zoai:repositorio.unesp.br:11449/194672Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:49:16.602719Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
title |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
spellingShingle |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry Ferreira Filho, Angelo J. C. A. aerospace industry efficiency and performance analysis outsourcing DEA AHP |
title_short |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
title_full |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
title_fullStr |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
title_full_unstemmed |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
title_sort |
Measuring the efficiency of outsourcing: an illustrative case study from the aerospace industry |
author |
Ferreira Filho, Angelo J. C. A. |
author_facet |
Ferreira Filho, Angelo J. C. A. Salomon, Valerio A. P. [UNESP] Marins, Fernando A. S. [UNESP] Loureiro, G. Curran, R. |
author_role |
author |
author2 |
Salomon, Valerio A. P. [UNESP] Marins, Fernando A. S. [UNESP] Loureiro, G. Curran, R. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Empresa Brasileira Aeronaut SA Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Ferreira Filho, Angelo J. C. A. Salomon, Valerio A. P. [UNESP] Marins, Fernando A. S. [UNESP] Loureiro, G. Curran, R. |
dc.subject.por.fl_str_mv |
aerospace industry efficiency and performance analysis outsourcing DEA AHP |
topic |
aerospace industry efficiency and performance analysis outsourcing DEA AHP |
description |
Outsourcing is related to the action which an organization deals with its suppliers through a kind of business contract where a specific activity or service has been hired to be made. The outsourcing of some activities has become a common practice in the industry, nowadays. It reduces costs, significantly, in the production process and, at the same time, adds some values to the business organization. However it is necessary to measure the performance of these activities. Data Envelopment Analysis (DEA) is a non-parametric method useful to measure comparative performance. It has a wide range of applications measuring comparative efficiency. The Analytic Hierarchy Process (AHP) is a multiple criteria decision-making method that uses hierarchic structures to represent a decision problem and then develops priorities for the alternatives based on the decision-maker's judgments. This paper presents an integrated application based on DEA and AHP to evaluate the efficiency of subcontracted companies in a Brazilian aerospace factory. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-01-01 2020-12-10T16:33:59Z 2020-12-10T16:33:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Complex Systems Concurrent Engineering: Collaboration, Technology Innovation And Sustainability. Godalming: Springer-verlag London Ltd, p. 819-+, 2007. http://hdl.handle.net/11449/194672 WOS:000248899900090 |
identifier_str_mv |
Complex Systems Concurrent Engineering: Collaboration, Technology Innovation And Sustainability. Godalming: Springer-verlag London Ltd, p. 819-+, 2007. WOS:000248899900090 |
url |
http://hdl.handle.net/11449/194672 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Complex Systems Concurrent Engineering: Collaboration, Technology Innovation And Sustainability |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
819-+ |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128863741411328 |