Inventory Placement Mapping using Bluetooth Low Energy Beacon Technology for Warehouses

Octaviani, Priscilia; Ce, Win

doi:10.1109/icimtech50083.2020.9211206

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…The ranking order of data stages begins from deployed transmitters and ends at the application server. Information moves in sequences from the end nodes to the concentrator [20]. The collected data is then passed onto the gateway, where information is uploaded to an application server and displayed on a dashboard.…”

Section: Methodsmentioning

confidence: 99%

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Implementation Of Active RFIDs In Inventory Systems

Soltanirad

Ahmad

Hoon

et al. 2022

J. Phys.: Conf. Ser.

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The commoditization of integrated circuits has revolutionized the world of IoT based networks. Supply chain management relies heavily on the application of passive RFID tags for inventory management. However, this technology is outdated and does not provide real-time monitoring for warehouse administration. Moreover, due to the high error rate of traditional passive RFIDs, active RFIDs are graded higher in terms of operational efficiency. The biggest challenge in the deployment of active RFIDs in inventory systems is high power consumption. The passive RFIDs were favored due to their lack of dependency on an internal power supply. The inception of low power long range radio modules has fully transformed the range of applications for active RFIDs. The long range low power active RFIDs are used to develop IoT ecosystems for the purpose of creating a smart supply chain management system. In this research, the hierarchical wireless mesh network consists of three levels; the end node, the concentrator and the gateway. The model takes advantage of low power long range radios to design a system that can monitor and track inventory in a warehouse. The unique circuit has small and compact properties that has the potential to be deployed in real life warehouses.

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Section: Methodsmentioning

confidence: 99%

“…The gateway and server sections of the system remain uninterrupted as the scale of the network expands. Most of the data traffic that circulates in the mesh network is regulated by the concentrators [12], [20]- [22]. Therefore, scalability of the system relies primarily on the end node to concentrator ratio.…”

Section: Methodsmentioning

confidence: 99%

Implementation Of Active RFIDs In Inventory Systems

Soltanirad

Ahmad

Hoon

et al. 2022

J. Phys.: Conf. Ser.

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“…Therefore, workers can reduce the workload of picking operations. Priscilia and Win [17] proposed a method for efficient warehouse management to reduce the burden of the parts supply operations. Their method managed inventory in a factory using BLE beacons, which are suitable for many IoT devices.…”

Section: Related Workmentioning

confidence: 99%

Parts Supply Support Method for Leveling Workload in In-Process Logistics

Yuasa

Yamawaki²,

Shima³

et al. 2023

IEICE Trans. Inf. & Syst.

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At manufacturing sites, mass customization is expanding along with the increasing variety of customer needs. This situation leads to complications in production planning for the factory manager, and production plans are likely to change suddenly at the manufacturing site. Because such sudden fluctuations in production often occur, it is particularly difficult to optimize the parts supply operations in these production processes. As a solution to such problems, Industry 4.0 has expanded to promote the use of digital technologies at manufacturing sites; however, these solutions can be expensive and time-consuming to introduce. Therefore, not all factory managers are favorable toward introducing digital technology. In this study, we propose a method to support parts supply operations that decreases work stagnation and fluctuation without relying on the experience of workers who supply parts in the various production processes. Furthermore, we constructed a system that is inexpensive and easy to introduce using both LPWA and BLE communications. The purpose of the system is to level out work in in-process logistics. In an experiment, the proposed method was introduced to a manufacturing site, and we compared how the workload of the site's workers changed. The experimental results show that the proposed method is effective for workload leveling in parts supply operations.

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“…BLE is a wireless communication technology [146] that is being increasingly used in IoT applications because of its simplicity, ubiquity in most current electronic devices, and low power operation [147], [148]. Applications such as retail [125], environmental monitoring [126], indoor localization [149], museum guiding [150], or inventory management [151] are using BLE beacons. The IoT sensor device presented in [127] measures light intensity, temperature, and relative humidity of the environment.…”

Section: A Solar-powered Environmental Ble Beacon Case Study System mentioning

confidence: 99%

Energy Harvesting Techniques for Internet of Things (IoT)

et al. 2021

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The rapid growth of the Internet of Things (IoT) has accelerated strong interests in the development of low-power wireless sensors. Today, wireless sensors are integrated within IoT systems to gather information in a reliable and practical manner to monitor processes and control activities in areas such as transportation, energy, civil infrastructure, smart buildings, environment monitoring, healthcare, defense, manufacturing, and production. The long-term and self-sustainable operation of these IoT devices must be considered early on when they are designed and implemented. Traditionally, wireless sensors have often been powered by batteries, which, despite allowing low overall system costs, can negatively impact the lifespan and the performance of the entire network they are used in. Energy Harvesting (EH) technology is a promising environment-friendly solution that extends the lifetime of these sensors, and, in some cases completely replaces the use of battery power. In addition, energy harvesting offers economic and practical advantages through the optimal use of energy, and the provisioning of lower network maintenance costs. We review recent advances in energy harvesting techniques for IoT. We demonstrate two energy harvesting techniques using case studies. Finally, we discuss some future research challenges that must be addressed to enable the large-scale deployment of energy harvesting solutions for IoT environments.

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Inventory Placement Mapping using Bluetooth Low Energy Beacon Technology for Warehouses

Cited by 9 publications

References 9 publications

Implementation Of Active RFIDs In Inventory Systems

Implementation Of Active RFIDs In Inventory Systems

Parts Supply Support Method for Leveling Workload in In-Process Logistics

Energy Harvesting Techniques for Internet of Things (IoT)

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