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dc.contributor.author
Guggeri, Elena María  
dc.contributor.author
Ham, Carolina  
dc.contributor.author
Silveyra, Pilar  
dc.contributor.author
Rossit, Daniel Alejandro  
dc.contributor.author
Piñeyro, Pedro  
dc.date.available
2023-10-24T11:20:05Z  
dc.date.issued
2023-11  
dc.identifier.citation
Guggeri, Elena María; Ham, Carolina; Silveyra, Pilar; Rossit, Daniel Alejandro; Piñeyro, Pedro; Goal programming and multi-criteria methods in remanufacturing and reverse logistics: Systematic literature review and survey; Pergamon-Elsevier Science Ltd; Computers & Industrial Engineering; 185; 11-2023; 1-14  
dc.identifier.issn
0360-8352  
dc.identifier.uri
http://hdl.handle.net/11336/215725  
dc.description.abstract
Environmental concerns, largely caused by a linear take-make-dispose model of manufacturing, have raised the need to incorporate the flow of used products to capture their residual value, thus shifting the traditional linear model to a more circular one. Remanufacturing is considered a key element in achieving circularity goals, as it offers greater environmental and economic benefits than other existing used product recovery options. The incorporation of used products in the supply chain poses challenging problems in which it is often necessary to consider trade-offs between different conflicting objectives, where multi-criteria decision-making methods, such as goal programming (GP), are mostly used. Since the last known review of the literature about these topics considers publications up to the year 2017, and it is observed that the number of publications has been growing significantly in recent years, it seems appropriate to carry out a more up-to-date review. This paper presents a review of the recent literature on GP and other multi-criteria methods applied to closed-loop supply chain systems, with focus on reverse logistics and remanufacturing as one of the most frequently recovery option used in the industry. The review was carried out in a systematic manner, using four of the most recognized scientific document repositories and a period of time for publications ranging from 2011 to 2021. After a detailed filtering process of almost 150 documents initially found, a final database of 38 documents was obtained for an in-depth review. The 38 documents were classified in three categories: supply chain management and design, strategic decisions in circular economy, and production planning. Half of the documents reviewed fall into the category of production planning, with a particular interest in disassembly planning issues and the advantages offered by technological advances such as the Internet of Things (IoT). It was observed that most of the investigations consider the economic and environmental dimensions, leaving aside the social dimension. This confirms a trend previously observed in the literature. In addition, a global analysis of the collected documents was carried out to determine which are the most used decision-making criteria for closed-loop systems with product recovery. Legal, production planning and life cycle assessment aspects that deserve further study in the future are also suggested.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CLOSED-LOOP SUPPLY CHAIN  
dc.subject
GOAL PROGRAMMING  
dc.subject
MULTI-CRITERIA DECISION-MAKING  
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PRODUCT RECOVERY  
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REMANUFACTURING  
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REVERSE LOGISTICS  
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SYSTEMATIC LITERATURE REVIEW  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Goal programming and multi-criteria methods in remanufacturing and reverse logistics: Systematic literature review and survey  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-10-19T14:32:23Z  
dc.journal.volume
185  
dc.journal.pagination
1-14  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Guggeri, Elena María. Universidad de la Republica; Uruguay  
dc.description.fil
Fil: Ham, Carolina. Universidad de la República; Uruguay  
dc.description.fil
Fil: Silveyra, Pilar. Universidad de la República; Uruguay  
dc.description.fil
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina  
dc.description.fil
Fil: Piñeyro, Pedro. Universidad de la Republica; Uruguay  
dc.journal.title
Computers & Industrial Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.cie.2023.109587