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A proposal of analytical formulations to calculate safety lead times under demand variability. A case study

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A proposal of analytical formulations to calculate safety lead times under demand variability. A case study

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Ayala, R.; Mula, J.; Poler, R.; Díaz-Madroñero Boluda, FM. (2024). A proposal of analytical formulations to calculate safety lead times under demand variability. A case study. Ain Shams Engineering Journal. 15(9). https://doi.org/10.1016/j.asej.2024.102902

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Título: A proposal of analytical formulations to calculate safety lead times under demand variability. A case study
Autor: Ayala, Ricardo Mula, Josefa Poler, R. Díaz-Madroñero Boluda, Francisco Manuel
Entidad UPV: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Fecha difusión:
Resumen:
[EN] This paper deals with the issue of safety lead time (SLT) calculations in production-inventory systems in presence of both demand and replenishment lead time variability. We provide some formulations of the SLT ...[+]
Palabras clave: Inventory control , Safety lead time , Supply chain management , Demand uncertainty , Automotive industry , Case study
Derechos de uso: Reconocimiento (by)
Fuente:
Ain Shams Engineering Journal. (issn: 2090-4479 )
DOI: 10.1016/j.asej.2024.102902
Editorial:
Ain Shams University
Versión del editor: https://doi.org/10.1016/j.asej.2024.102902
Coste APC: 816.75
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2022-133957-I00/ES/VALIDACION DE RESULTADOS TRANSFERIBLES DE OPTIMIZACION DE TECNOLOGIAS DE PRODUCCION CERO-DEFECTOS HABILITADORAS PARA CADENAS DE SUMINISTRO 4.0/
info:eu-repo/grantAgreement/EC/H2020/958205/EU/Industrial Data Services for Quality Control in Smart Manufacturing/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2021%2F065//Industrial Production and Logistics Optimization in Industry 4.0 (i4OPT) /
Agradecimientos:
The research that has led to the present results has received funding from: the European Union H2020 Programme, with grant agreement No. 958205 Industrial Data Services for Quality Control in Smart Manufacturing (i4Q) ; ...[+]
Tipo: Artículo

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