An Augmented Reality Assisted Order Picking System using IoT
Mayank Kumar Nagda1, Sankalp Sinha2, Poovammal E3
1Mayank Kumar Nagda, Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
2Sankalp Sinha, Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
3Poovammal E, Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
Manuscript received on 2 August 2019. | Revised Manuscript received on 8 August 2019. | Manuscript published on 30 September 2019. | PP: 744-749 | Volume-8 Issue-3 September 2019 | Retrieval Number: C3991098319/19©BEIESP | DOI: 10.35940/ijrte.C3991.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: It is widely recognized that order picking is the most complicated and time-consuming task in warehouse operations and often termed as the major bottleneck in warehouse workflow. Over the years the process of order picking has been extensively studied and many methods have been proposed to deal with its challenges. However, most of these solutions involve complex and expensive components with elaborate setups. In this paper, we propose RASPICK a modular, robust and cost-efficient order picking system that is scalable and can be used in warehouses of all sizes. The proposed system aims to reduce the cognitive load on the picker by providing crucial and relevant information for each item on the picking list. For a baseline, the proposed system is also compared to manual paper-based picking and shows significant improvements in average trip-time for lists of different sizes. The system combines the convenience of Augmented Reality with the power of the Internet of things to facilitate central control and management of pickers and attempts to address the low-level order picking bottlenecks.
Index Terms: Augmented Reality, Internet of Things, Order Picking, Warehouse Management
Scope of the Article: IoT