Sustainable resource management in a supply chain: a methodological proposal combining zero-inflated fuzzy time series and clustering techniques

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorIslamic Azad Univ-
Autor(es): dc.contributorUniversidade Federal do Rio de Janeiro (UFRJ)-
Autor(es): dc.creatorEwbank, Henrique [UNESP]-
Autor(es): dc.creatorFrutuoso Roveda, Jose Arnaldo [UNESP]-
Autor(es): dc.creatorMonteiro Masalskiene Roveda, Sandra Regina [UNESP]-
Autor(es): dc.creatorRibeiro, Admilson Irio [UNESP]-
Autor(es): dc.creatorBressane, Adriano [UNESP]-
Autor(es): dc.creatorHadi-Vencheh, Abdollah-
Autor(es): dc.creatorWanke, Peter-
Data de aceite: dc.date.accessioned2022-02-22T00:06:01Z-
Data de disponibilização: dc.date.available2022-02-22T00:06:01Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-07-14-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1108/JEIM-09-2019-0289-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/195511-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/195511-
Descrição: dc.descriptionPurpose The purpose of this paper is to analyze demand forecast strategies to support a more sustainable management in a pallet supply chain, and thus avoid environmental impacts, such as reducing the consumption of forest resources. Design/methodology/approach Since the producer presents several uncertainties regarding its demand logs, a methodology that embed zero-inflated intelligence is proposed combining fuzzy time series with clustering techniques, in order to deal with an excessive count of zeros. Findings A comparison with other models from literature is performed. As a result, the strategy that considered at the same time the excess of zeros and low demands provided the best performance, and thus it can be considered a promising approach, particularly for sustainable supply chains where resources consumption is significant and exist a huge variation in demand over time. Originality/value The findings of the study contribute to the knowledge of the managers and policymakers in achieving sustainable supply chain management. The results provide the important concepts regarding the sustainability of supply chain using fuzzy time series and clustering techniques.-
Descrição: dc.descriptionSao Paulo State Univ, Sorocaba, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Sao Jose Dos Campos, Brazil-
Descrição: dc.descriptionIslamic Azad Univ, Dept Math, Isfahan Khorasgan Branch, Esfahan, Iran-
Descrição: dc.descriptionUniv Fed Rio de Janeiro, Rio De Janeiro, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Sorocaba, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Sao Jose Dos Campos, Brazil-
Formato: dc.format18-
Idioma: dc.languageen-
Publicador: dc.publisherEmerald Group Publishing Ltd-
Relação: dc.relationJournal Of Enterprise Information Management-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectFuzzy sets-
Palavras-chave: dc.subjectSustainability-
Palavras-chave: dc.subjectSupply chain-
Palavras-chave: dc.subjectFuzzy time series-
Título: dc.titleSustainable resource management in a supply chain: a methodological proposal combining zero-inflated fuzzy time series and clustering techniques-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.