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Implementation of vision picking technology towards warehouse performance of logitics field in Malaysia

P. Sinathamby, Thivek (2023) Implementation of vision picking technology towards warehouse performance of logitics field in Malaysia. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Abstract—Augmented Reality (AR), one of the most notable technologies of the Fourth Industrial Revolution (IR4.0), enhances the user's real-world experience by utilizing wearable technology and the capabilities of the computer-generated display, sound, text, and effects. Operations for order picking in warehouse management systems (WMS) significantly affect overall operational effectiveness. Because of how tedious the traditional picking process is to manage, picking performance may differ from expectations. Vision picking technology, a novel technology for order picking, is growing in acceptance and is now seen as a crucial technology supporting WMS. This thesis provides a brief overview of the application of visionpicking technology toward warehouse performance in the logistics field in Malaysia. This study also creates a taxonomy arrangement of literature reviews vision vision-picking technology in the warehouse of the logistic field, to show the focus of the major topic of the study, in addition to presenting the fundamental idea of vision-picking technology performance. The analysis will generate major key conclusions that are crucial to the perspective of implementing visionpicking technology to optimize the 3PL warehouse performance such as efficiency, productivity, and cost reduction. Implementation of vision picking is very important for the future development of the logistics field in our country to improve living standards.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Vision picking technology, Warehouse performance, Logistic field
Subjects: H Social Sciences > HF Commerce
Divisions: Library > Final Year Project > FPTT
Depositing User: Sabariah Ismail
Date Deposited: 19 Nov 2024 07:16
Last Modified: 19 Nov 2024 07:16
URI: http://digitalcollection.utem.edu.my/id/eprint/32731

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