A NOVEL BOTTLING MACHINE DESIGN FOR ENHANCED EFFICIENCY AND SCALABILITY IN SMEs

This research presents the design, testing, and val- idation steps of a novel bottling machine that can potentially revolutionize the bottling process for small and medium-sized companies. The machine was equipped with a detection system to identify dirty bottles before the bottling process began, ensuring that only clean bottles were used and achieving safety control. The test conducted for the validation showed an accuracy rate of 98.95% in filling the nominal volume and an 87.5% accuracy rate in detecting dirty or clean bottles. The findings demonstrate the potential of the bottling machine design to improve the efficiency and safety of the bottling process, particularly for smaller companies. By identifying dirty bottles before the bottling process, the system prevents product contamination and ensures consumers’ safety. The research presents a promising solution for small and medium-sized companies seeking to improve their bottling process while ensuring safety and quality control without investing in big machines or complex industrial systems.

Authors

Institutions

Publication Details

Journal
International Journal of Manufacturing Economics and Management
Published
2024-12-20
DOI
https://doi.org/10.54684/ijmem.2024.4.2.25
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A NOVEL BOTTLING MACHINE DESIGN FOR ENHANCED EFFICIENCY AND SCALABILITY IN SMEs

Angélica Quito, Marcelo Moya, Faruk Abedrabbo, Jhoan Narváez
International Journal of Manufacturing Economics and Management
Digital Transformation in Industry
article

A NOVEL BOTTLING MACHINE DESIGN FOR ENHANCED EFFICIENCY AND SCALABILITY IN SMEs

Angélica Quito, Marcelo Moya, Faruk Abedrabbo, Jhoan Narváez
article en

Abstract

This research presents the design, testing, and val- idation steps of a novel bottling machine that can potentially revolutionize the bottling process for small and medium-sized companies. The machine was equipped with a detection system to identify dirty bottles before the bottling process began, ensuring that only clean bottles were used and achieving safety control. The test conducted for the validation showed an accuracy rate of 98.95% in filling the nominal volume and an 87.5% accuracy rate in detecting dirty or clean bottles. The findings demonstrate the potential of the bottling machine design to improve the efficiency and safety of the bottling process, particularly for smaller companies. By identifying dirty bottles before the bottling process, the system prevents product contamination and ensures consumers’ safety. The research presents a promising solution for small and medium-sized companies seeking to improve their bottling process while ensuring safety and quality control without investing in big machines or complex industrial systems.

International Journal of Manufacturing Economics and ManagementVol. 4(2)
Universidad Internacional del Ecuador (EC)
Openalex Percentile: Top 62%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.