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Traceability Automation in Coffee Production: A Case Study on QR Code Integration to Optimize Manual Steps.

Authors :
Terra Querme, Mayara Eduarda
Araújo Lima, Danielli
Source :
Archives of Advanced Engineering Science; Jul2024, Vol. 2 Issue 3, p170-180, 11p
Publication Year :
2024

Abstract

Agriculture and coffee production are vital to Brazil's economy, generating jobs, driving regional development, and contributing significantly to the trade balance, making Brazil a leading coffee producer and exporter. In this context, this scientific article proposes automating coffee production traceability using QR codes to optimize processes and enhance quality, safety, and sustainability in the supply chain under the Industry 4.0 paradigm. We employ Business Process Model and Notation modeling to delineate coffee production stages, leveraging QR codes for data collection and registration during activities like harvesting, washing, drying, processing, storage, and farm certification validation. QR codes streamline operations, reduce errors, and enhance traceability, involving actors ranging from harvesters to quality personnel, inspectors, and clerks. The study scrutinizes coffee transfer from rural producers to warehouses, optimizing stock and delivery management. The main results obtained were the significant reduction in the number of employees, the reduction of activities and consequently the time, and finally, the assertiveness to complete the process. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
29724325
Volume :
2
Issue :
3
Database :
Complementary Index
Journal :
Archives of Advanced Engineering Science
Publication Type :
Academic Journal
Accession number :
179716655
Full Text :
https://doi.org/10.47852/bonviewAAES32021455