Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Borobudur Engineering Review
Okediran, Iliyasu Kayode
Unknown Affiliation
Automotive Engineering Engineering Mechanical Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Application in Product Labeling: Benefits, Challenges, Key Components and Technologies: A review Adewale, David; Okediran, Iliyasu Kayode; Idris, Musibaudeen Olatunde; Oyewo, Abideen Temitayo; Adefajo, Abdulhafiz Ademola
Borobudur Engineering Review Vol 5 No 01 (2025): Sistem Proses Industri
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.v5i01.12460

Abstract

The automation of product labeling has emerged as a critical advancement in manufacturing, enhancing efficiency and precision in packaging processes. This paper provides a comprehensive review of the application of automation in product labeling, focusing on the significant benefits and technological advancements that have transformed the labeling process in modern production environments. The study begins with an overview of the production line and explores how automated labeling systems integrate with other automation technologies to enhance efficiency, accuracy, and flexibility. Key components and technologies, such as vision inspection systems, robotics, and smart labels, are examined in detail, highlighting their role in ensuring precise and consistent labeling. The paper also addresses the challenges and considerations involved in implementing and maintaining automated labeling systems, including integration with existing machinery, maintaining accuracy, and regulatory compliance. In conclusion, the review underscores the significant advancements driving the future of labeling automation, emphasizing how innovations in artificial intelligence (AI), the Industrial Internet of Things (IIoT), and sustainable practices are poised to further revolutionize the industry and drive new levels of efficiency and precision.
Co-Authors Adefajo, Abdulhafiz Ademola Adewale, David Idris, Musibaudeen Olatunde Oyewo, Abideen Temitayo