| Title: | Indoor positioning system based on bluetooth low energy technology and a nature-inspired optimization algorithm |
|---|
| Authors: | ID Bencak, Primož (Author)
ID Hercog, Darko (Author)
ID Lerher, Tone (Author) |
|---|
| Files: |  Indoor_Positioning_System_Based_on-Bencak-2022.pdf (2,42 MB)
MD5: 41C6D9F2F0C5B66C6C3498468A82A8A6
 https://www.mdpi.com/2079-9292/11/3/308
|
|---|
| Language: | English |
|---|
| Work type: | Scientific work |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FL - Faculty of Logistic
FERI - Faculty of Electrical Engineering and Computer Science
FS - Faculty of Mechanical Engineering
|
|---|
| Abstract: | Warehousing is one of the most important activities in the supply chain, enabling competitive advantage. Effective management of warehousing processes is, therefore, crucial for achieving minimal costs, maximum efficiency, and overall customer satisfaction. Warehouse Management Systems (WMS) are the first steps towards organizing these processes; however, due to the human factor involved, information on products, vehicles and workers may be missing, corrupt, or misleading. In this paper, a cost-effective Indoor Positioning System (IPS) based on Bluetooth Low Energy (BLE) technology is presented for use in Intralogistics that works automatically, and therefore minimizes the possibility of acquiring incorrect data. The proposed IPS solution is intended to be used for supervising order-picker movements, movement of packages between workstations, and tracking other mobile devices in a manually operated warehouse. Only data that are accurate, reliable and represent the actual state of the system, are useful for detailed material flow analysis and optimization in Intralogistics. Using the developed solution, IPS technology is leveraged to enhance the manually operated warehouse operational efficiency in Intralogistics. Due to the hardware independence, the developed software solution can be used with virtually any BLE supported beacons and receivers. The results of IPS testing in laboratory/office settings show that up to 98% of passings are detected successfully with time delays between approach and detection of less than 0.5 s. |
|---|
| Keywords: | warehousing, indoor positioning systems, bluetooth low energy, particle swarm optimization, nature–inspired algorithm, intralogistics |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 01.01.2022 |
|---|
| Year of publishing: | 2022 |
|---|
| Number of pages: | str. 1-27 |
|---|
| Numbering: | Vol. 11, iss. 3 |
|---|
| PID: | 20.500.12556/DKUM-85048  |
|---|
| UDC: | 338 |
|---|
| ISSN on article: | 2079-9292 |
|---|
| COBISS.SI-ID: | 94602499 |
|---|
| DOI: | 10.3390/electronics11030308 |
|---|
| Publication date in DKUM: | 17.08.2023 |
|---|
| Views: | 432 |
|---|
| Downloads: | 57 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
