An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations

Detalhes bibliográficos
Autor(a) principal: Choudhary, Divya
Data de Publicação: 2014
Outros Autores: Madaan, Jitendra, Narain, Rakesh
Tipo de documento: Artigo
Idioma: eng
Título da fonte: JOSCM. Journal of Operations and Supply Chain Management
Texto Completo: https://periodicos.fgv.br/joscm/article/view/41518
Resumo: Due to intricacies, considerable risks are involved in product recovery operations, therefore core competency and experience are prerequisite for successful implementation of Reverse Logistics (RL).To overcome this, organizations are outsourcing the recovery operations and are opting for Third Party Recovery Facilitators (3PRF) to obtain prominent results. This paper contributes by proposing a decision model to address risks associated with product recovery and suggesting criteria for suitable 3PRF selection. The study also introduces a novel approach, combining Interpretive Structural Modeling (ISM) and ELECTRE III methodologies to tackle this problem of 3PRF selection to improve decisions. ELECTRE III is a more reliable and pragmatic method, as it considers imprecision present in expert opinions and ensures that an extremely low score on a criterion cannot be compensated by good scores on other criteria. Subsequently, ISM methodology is used for identifying relationships among various criteria to determine the most significant ones. ELECTRE III method is then applied to select the most appropriate 3PRF based on the most significant criteria. The application of this novel approach can reduce risk involved and time during the process of recovery facilitator selection. Additionally, case study has been conducted to show the practical implementation of ELECTRE III methodology in selection process.DOI: 10.12660/joscmv7n2p37-58URL: http://dx.doi.org/10.12660/joscmv7n2p27-58
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spelling An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery OperationsThird Party Recovery Facilitators (3PRF)Reverse Logistics (RL)Interpretive Structural Modeling (ISM)ELECTRE IIIDecision Model.Due to intricacies, considerable risks are involved in product recovery operations, therefore core competency and experience are prerequisite for successful implementation of Reverse Logistics (RL).To overcome this, organizations are outsourcing the recovery operations and are opting for Third Party Recovery Facilitators (3PRF) to obtain prominent results. This paper contributes by proposing a decision model to address risks associated with product recovery and suggesting criteria for suitable 3PRF selection. The study also introduces a novel approach, combining Interpretive Structural Modeling (ISM) and ELECTRE III methodologies to tackle this problem of 3PRF selection to improve decisions. ELECTRE III is a more reliable and pragmatic method, as it considers imprecision present in expert opinions and ensures that an extremely low score on a criterion cannot be compensated by good scores on other criteria. Subsequently, ISM methodology is used for identifying relationships among various criteria to determine the most significant ones. ELECTRE III method is then applied to select the most appropriate 3PRF based on the most significant criteria. The application of this novel approach can reduce risk involved and time during the process of recovery facilitator selection. Additionally, case study has been conducted to show the practical implementation of ELECTRE III methodology in selection process.DOI: 10.12660/joscmv7n2p37-58URL: http://dx.doi.org/10.12660/joscmv7n2p27-58FGV EAESP2014-12-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.fgv.br/joscm/article/view/4151810.12660/joscmv7n2p37-58Journal of Operations and Supply Chain Management; Vol. 7 No. 2 (2014): July - December; 37-58Journal of Operations and Supply Chain Management; v. 7 n. 2 (2014): July - December; 37-581984-3046reponame:JOSCM. Journal of Operations and Supply Chain Managementinstname:Fundação Getulio Vargas (FGV)instacron:FGVenghttps://periodicos.fgv.br/joscm/article/view/41518/40301Copyright (c) 2014 Journal of Operations and Supply Chain Managementinfo:eu-repo/semantics/openAccessChoudhary, DivyaMadaan, JitendraNarain, Rakesh2018-06-12T16:13:01Zoai:ojs.periodicos.fgv.br:article/41518Revistahttp://bibliotecadigital.fgv.br/ojs/index.php/joscmPRIhttp://bibliotecadigital.fgv.br/ojs/index.php/joscm/oai||joscm@fgv.br1984-30461984-3046opendoar:2018-06-12T16:13:01JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV)false
dc.title.none.fl_str_mv An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
title An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
spellingShingle An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
Choudhary, Divya
Third Party Recovery Facilitators (3PRF)
Reverse Logistics (RL)
Interpretive Structural Modeling (ISM)
ELECTRE III
Decision Model.
title_short An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
title_full An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
title_fullStr An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
title_full_unstemmed An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
title_sort An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations
author Choudhary, Divya
author_facet Choudhary, Divya
Madaan, Jitendra
Narain, Rakesh
author_role author
author2 Madaan, Jitendra
Narain, Rakesh
author2_role author
author
dc.contributor.author.fl_str_mv Choudhary, Divya
Madaan, Jitendra
Narain, Rakesh
dc.subject.por.fl_str_mv Third Party Recovery Facilitators (3PRF)
Reverse Logistics (RL)
Interpretive Structural Modeling (ISM)
ELECTRE III
Decision Model.
topic Third Party Recovery Facilitators (3PRF)
Reverse Logistics (RL)
Interpretive Structural Modeling (ISM)
ELECTRE III
Decision Model.
description Due to intricacies, considerable risks are involved in product recovery operations, therefore core competency and experience are prerequisite for successful implementation of Reverse Logistics (RL).To overcome this, organizations are outsourcing the recovery operations and are opting for Third Party Recovery Facilitators (3PRF) to obtain prominent results. This paper contributes by proposing a decision model to address risks associated with product recovery and suggesting criteria for suitable 3PRF selection. The study also introduces a novel approach, combining Interpretive Structural Modeling (ISM) and ELECTRE III methodologies to tackle this problem of 3PRF selection to improve decisions. ELECTRE III is a more reliable and pragmatic method, as it considers imprecision present in expert opinions and ensures that an extremely low score on a criterion cannot be compensated by good scores on other criteria. Subsequently, ISM methodology is used for identifying relationships among various criteria to determine the most significant ones. ELECTRE III method is then applied to select the most appropriate 3PRF based on the most significant criteria. The application of this novel approach can reduce risk involved and time during the process of recovery facilitator selection. Additionally, case study has been conducted to show the practical implementation of ELECTRE III methodology in selection process.DOI: 10.12660/joscmv7n2p37-58URL: http://dx.doi.org/10.12660/joscmv7n2p27-58
publishDate 2014
dc.date.none.fl_str_mv 2014-12-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.fgv.br/joscm/article/view/41518
10.12660/joscmv7n2p37-58
url https://periodicos.fgv.br/joscm/article/view/41518
identifier_str_mv 10.12660/joscmv7n2p37-58
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.fgv.br/joscm/article/view/41518/40301
dc.rights.driver.fl_str_mv Copyright (c) 2014 Journal of Operations and Supply Chain Management
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Journal of Operations and Supply Chain Management
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv FGV EAESP
publisher.none.fl_str_mv FGV EAESP
dc.source.none.fl_str_mv Journal of Operations and Supply Chain Management; Vol. 7 No. 2 (2014): July - December; 37-58
Journal of Operations and Supply Chain Management; v. 7 n. 2 (2014): July - December; 37-58
1984-3046
reponame:JOSCM. Journal of Operations and Supply Chain Management
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str JOSCM. Journal of Operations and Supply Chain Management
collection JOSCM. Journal of Operations and Supply Chain Management
repository.name.fl_str_mv JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv ||joscm@fgv.br
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