Quality assurance of product sorting and packaging: a project-based approach to mitigate errors and enhance accuracy

Achieving operational excellence, reliably meeting customer demands, accurate product sorting and packaging processes, this entails implementing robust quality control and assurance measures, automated sorting systems, and comprehensive checks. Our research-study focuses on addressing sorting and packaging errors in a manufacturing company through a project-based approach. The current sorting machine's sole reliance on reading product labels leads to mixing and exchanging errors. To overcome this challenge, we propose developing a software solution with a new feature: the ability to read labels and detect box colours. This enhancement significantly improves reliability and accuracy in product identification and sorting. Introducing colour-coded boxes enables the machine to easily differentiate between products, reducing incorrect sorting and ensuring precision. This approach creates a seamless system that streamlines operations, enhances quality, prevents customer returns, and maximises customer satisfaction.

Institutions

Publication Details

Journal
International Journal of Productivity and Quality Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijpqm.2025.148012
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Quality assurance of product sorting and packaging: a project-based approach to mitigate errors and enhance accuracy

1 citations
International Journal of Productivity and Quality Management
Geochemistry and Geologic Mapping
2.48
article

Quality assurance of product sorting and packaging: a project-based approach to mitigate errors and enhance accuracy

article en
1 citations

Abstract

Achieving operational excellence, reliably meeting customer demands, accurate product sorting and packaging processes, this entails implementing robust quality control and assurance measures, automated sorting systems, and comprehensive checks. Our research-study focuses on addressing sorting and packaging errors in a manufacturing company through a project-based approach. The current sorting machine's sole reliance on reading product labels leads to mixing and exchanging errors. To overcome this challenge, we propose developing a software solution with a new feature: the ability to read labels and detect box colours. This enhancement significantly improves reliability and accuracy in product identification and sorting. Introducing colour-coded boxes enables the machine to easily differentiate between products, reducing incorrect sorting and ensuring precision. This approach creates a seamless system that streamlines operations, enhances quality, prevents customer returns, and maximises customer satisfaction.

International Journal of Productivity and Quality ManagementVol. 45(4)
Universidade Politécnica do Cávado e do Ave (PT), University of Minho (PT)
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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