Mostrar el registro sencillo del ítem
dc.contributor.author | Becerra, Pablo | es_ES |
dc.contributor.author | Mula, Josefa | es_ES |
dc.contributor.author | Sanchis, R. | es_ES |
dc.date.accessioned | 2022-09-20T18:03:47Z | |
dc.date.available | 2022-09-20T18:03:47Z | |
dc.date.issued | 2021-12-15 | es_ES |
dc.identifier.issn | 0959-6526 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/186405 | |
dc.description.abstract | [EN] This paper provides a systematic and up-to-date review and classification of 91 studies on quantitative methods of green supply chains for sustainable inventory management. It particularly identifies the main study areas, findings and quantitative models by setting a point for future research opportunities in sustainable inventory management. It seeks to review the quantitative methods that can better contribute to deal with the environmental impact challenge. More specifically, it focuses on different supply chain designs (green supply chain, sustainable supply chain, reverse logistics, closed-loop supply chain) in a broader application context. It also identifies the most important variables and parameters in inventory modelling from a sustainable perspective. The paper also includes a comparative analysis of the different mathematical programming, simulation and statistical models, and their solution approach, with exact methods, simulation, heuristic or meta-heuristic solution algorithms, the last of which indicate the increasing attention paid by researchers in recent years. The main findings recognise mixed integer linear programming models supported by heuristic and metaheuristic algorithms as the most widely used modelling approach. Minimisation of costs and greenhouse gas emissions are the main objectives of the reviewed approaches, while social aspects are hardly addressed. The main contemplated inventory management parameters are holding costs, quantity to order, safety stock and backorders. Demand is the most frequently shared information. Finally, tactical decisions, as opposed to strategical and operational decisions, are the main ones. | es_ES |
dc.description.sponsorship | The research leading to these results received funding from the Grant RTI2018-101344-B-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". It was also funded by the National Agency for Research and Development (ANID) / Scholarship Program/Doctorado Becas en el Extranjero/2020 72210174. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Journal of Cleaner Production | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Supply chain | es_ES |
dc.subject | Sustainability | es_ES |
dc.subject | Inventory management | es_ES |
dc.subject | Quantitative models | es_ES |
dc.subject | Optimisation | es_ES |
dc.subject | Simulation | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Green supply chain quantitative models for sustainable inventory management: A review | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.jclepro.2021.129544 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101344-B-I00/ES/OPTIMIZACION DE TECNOLOGIAS DE PRODUCCION CERO-DEFECTOS HABILITADORAS PARA CADENAS DE SUMINISTRO 4.0/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ANID//2020-72210174//Scholarship Program/Doctorado Becas en el Extranjero/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Centro de Investigación en Gestión e Ingeniería de Producción - Centre d'Investigació en Gestió i Enginyeria de Producció | es_ES |
dc.description.bibliographicCitation | Becerra, P.; Mula, J.; Sanchis, R. (2021). Green supply chain quantitative models for sustainable inventory management: A review. Journal of Cleaner Production. 328:1-16. https://doi.org/10.1016/j.jclepro.2021.129544 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.jclepro.2021.129544 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 16 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 328 | es_ES |
dc.relation.pasarela | S\451621 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Agencia Nacional de Investigación y Desarrollo de Chile | es_ES |
dc.subject.ods | 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación | es_ES |
dc.subject.ods | 12.- Garantizar las pautas de consumo y de producción sostenibles | es_ES |
upv.costeAPC | 4017,2 | es_ES |