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Quantitative supply chain segmentation model for dynamic alignment

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Quantitative supply chain segmentation model for dynamic alignment

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dc.contributor.author Alves Ferreira, Rafael es_ES
dc.contributor.author A. S. Santos, Lucas es_ES
dc.contributor.author Espôsto, Kleber F. es_ES
dc.date.accessioned 2022-09-08T07:16:39Z
dc.date.available 2022-09-08T07:16:39Z
dc.date.issued 2022-07-29
dc.identifier.uri http://hdl.handle.net/10251/185593
dc.description.abstract [EN] Companies deal with different customer groups, requirements differ among them, which makes it important to define the service level precisely and improve customer service through different supply chain strategies for each group. An alternative to deal with imprecision related to the segmentation processes suggested by either the Leagile or the Dynamic Alignment Schools is the application of fuzzy set theory. The objective of this work is to develop a quantitative model that uses the fuzzy set theory and, based on sales data, assess the company s supply chain(s). The model's aim is to facilitate managers' decision-making processes to achieve the dynamic alignment. It was possible to identify the supply chains that serve the client groups evaluated, providing answers faster than the analysis proposed by the models found in the literature. The application in two real situations validated the model since the results obtained were consistent with the reality pointed out by the experts of the companies assessed. The model indicates possible actions for the realignment of the supply chain by their managers. Results obtained should improve practice, preparing managers to cope with the organizations` multiple supply chains. This study is the first one that aims to segment quantitatively supply chains on a company applying fuzzy set theory, providing a novel approach to align operations and supply chain strategy dynamically. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Supply chain segmentation es_ES
dc.subject Supply chain management es_ES
dc.subject Fuzzy inference system es_ES
dc.title Quantitative supply chain segmentation model for dynamic alignment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2022.16494
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Alves Ferreira, R.; A. S. Santos, L.; Espôsto, KF. (2022). Quantitative supply chain segmentation model for dynamic alignment. International Journal of Production Management and Engineering. 10(2):99-113. https://doi.org/10.4995/ijpme.2022.16494 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2022.16494 es_ES
dc.description.upvformatpinicio 99 es_ES
dc.description.upvformatpfin 113 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\16494 es_ES
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