Impact of Cloud Manufacturing on Delivery Delays within the Coffee Industry Supply Chain
Descripción del Articulo
Abstract — This applied research aimed to evaluate the impact of implementing a Cloud Manufacturing system on delivery delays within the supply chain of Café DLópez, a coffee processing and distribution company in Junín, Peru. A pre-experimental design with a single group was used, comparing deliver...
| Autores: | , , , |
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| Formato: | tesis de grado |
| Fecha de Publicación: | 2025 |
| Institución: | Universidad Continental |
| Repositorio: | CONTINENTAL-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.continental.edu.pe:20.500.12394/19492 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12394/19492 https://doi.org/10.1109/ICTLE67020.2025.11203410 |
| Nivel de acceso: | acceso abierto |
| Materia: | Procesos de manufactura Administración del tiempo Logística Herramientas Cadena de suministro Café Manufacturing processes Time management Logistics Tools Supply chain Coffee https://purl.org/pe-repo/ocde/ford#2.11.04 |
| Sumario: | Abstract — This applied research aimed to evaluate the impact of implementing a Cloud Manufacturing system on delivery delays within the supply chain of Café DLópez, a coffee processing and distribution company in Junín, Peru. A pre-experimental design with a single group was used, comparing delivery performance over two six-month periods before and after the implementation of a collaborative system developed in Google Sheets. The diagnostic phase identified key weaknesses in traceability, coordination, and technological integration, which were addressed through the deployment of a cloud-based management solution. The system enabled real-time order tracking, inventory visibility, and delivery scheduling across departments. Statistical analysis using the paired samples t-test revealed a significant reduction in average delivery delays, from 2.7 to 0.8 days (p = 0.028). These findings confirm that lightweight, accessible platforms like Google Sheets can serve as effective tools for digitalizing logistics processes in small agro-industrial enterprises, contributing to greater efficiency and customer satisfaction. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).