Deploying warehouse robots with confidence: the BRAIN-IoT framework’s functional assurance

Baouya, Abdelhakim; Chehida, Salim; Bensalem, Saddek; Gürgen, Levent; Nicholson, Richard; Cantero, Miquel; Diaz-Nava, M.; Ferrera, Enrico

doi:10.1007/s11227-023-05483-x

Cited by 2 publications

(1 citation statement)

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“…2021 [6] in an intelligent tracking system for clothing manufacturers. This method can be further improved by incorporating warehouse robots to reduce errors and increase efficiency [4]. Smart warehouses are becoming increasingly trendy [5].…”

Section: Introductionmentioning

confidence: 99%

An Innovative Approach to Yard Management Using QR Code-Based Technology

Pranith Saravanan,

Anurag De,

Dhyan Prasad

2024

Int Res J Adv Engg Hub

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Traditional yard and warehouse management systems are often prone to human errors which result in misplaced materials and products, operational disruptions and delays. To address these challenges, we propose a novel QR-based Yard Management System mobile application that leverages the ubiquity of QR codes to digitalize the process of material identification and placement verification. Upon receiving a material, dedicated QR codes placed on the material and the bins are scanned to automatically keep track of which bin the material is being placed in along with a validation process that ensures that the material is being placed in the right bin. This reduces the likelihood of misplacement of products, minimizes inventory discrepancies and any associated disruptions. Additionally, the system also provides real-time visibility into the product and bin statuses, enabling the yard managers to effectively track material locations and ensure their timely availability. By streamlining the material handling process, the Yard Management System enhances overall yard operation efficiency, thereby improving productivity and cost savings.

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Section: Introductionmentioning

confidence: 99%