Indoor Positioning Systems in Logistics: A Review
<i>Background:</i> Indoor Positioning Systems (IPS) have gained increasing relevance in logistics, offering solutions for safety enhancement, intralogistics management, and material flow control across various environments such as industrial facilities, offices, hospitals, and supermarke...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Logistics |
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| Online Access: | https://www.mdpi.com/2305-6290/8/4/126 |
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| author | Laura Vaccari Antonio Maria Coruzzolo Francesco Lolli Miguel Afonso Sellitto |
| author_facet | Laura Vaccari Antonio Maria Coruzzolo Francesco Lolli Miguel Afonso Sellitto |
| author_sort | Laura Vaccari |
| collection | DOAJ |
| description | <i>Background:</i> Indoor Positioning Systems (IPS) have gained increasing relevance in logistics, offering solutions for safety enhancement, intralogistics management, and material flow control across various environments such as industrial facilities, offices, hospitals, and supermarkets. This study aims to evaluate IPS technologies’ performance and applicability to guide practitioners in selecting systems suited to specific contexts. <i>Methods:</i> The study systematically reviews key IPS technologies, positioning methods, data types, filtering methods, and hybrid technologies, alongside real-world examples of IPS applications in various testing environments. <i>Results:</i> Our findings reveal that radio-based technologies, such as Radio Frequency Identification (RFID), Ultra-wideband (UWB), Wi-Fi, and Bluetooth (BLE), are the most commonly used, with UWB offering the highest accuracy in industrial settings. Geometric methods, particularly multilateration, proved to be the most effective for positioning and are supported by advanced filtering techniques like the Extended Kalman Filter and machine learning models such as Convolutional Neural Networks. Overall, hybrid approaches that integrate multiple technologies demonstrated enhanced accuracy and reliability, effectively mitigating environmental interferences and signal attenuation. <i>Conclusions:</i> The study provides valuable insights for logistics practitioners, emphasizing the importance of selecting IPS technologies suited to specific operational contexts, where precision and reliability are critical to operational success. |
| format | Article |
| id | doaj-art-27545856e668445aa02b581c2c8e7e95 |
| institution | Kabale University |
| issn | 2305-6290 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj-art-27545856e668445aa02b581c2c8e7e952024-12-27T14:36:40ZengMDPI AGLogistics2305-62902024-12-018412610.3390/logistics8040126Indoor Positioning Systems in Logistics: A ReviewLaura Vaccari0Antonio Maria Coruzzolo1Francesco Lolli2Miguel Afonso Sellitto3Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, ItalyDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, ItalyDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, ItalyProduction and Systems Engineering Graduate Program, Universidade do Vale do Rio dos Sinos, UNISINOS, Av. Unisinos, 950—Cristo Rei, São Leopoldo 93022-000, Brazil<i>Background:</i> Indoor Positioning Systems (IPS) have gained increasing relevance in logistics, offering solutions for safety enhancement, intralogistics management, and material flow control across various environments such as industrial facilities, offices, hospitals, and supermarkets. This study aims to evaluate IPS technologies’ performance and applicability to guide practitioners in selecting systems suited to specific contexts. <i>Methods:</i> The study systematically reviews key IPS technologies, positioning methods, data types, filtering methods, and hybrid technologies, alongside real-world examples of IPS applications in various testing environments. <i>Results:</i> Our findings reveal that radio-based technologies, such as Radio Frequency Identification (RFID), Ultra-wideband (UWB), Wi-Fi, and Bluetooth (BLE), are the most commonly used, with UWB offering the highest accuracy in industrial settings. Geometric methods, particularly multilateration, proved to be the most effective for positioning and are supported by advanced filtering techniques like the Extended Kalman Filter and machine learning models such as Convolutional Neural Networks. Overall, hybrid approaches that integrate multiple technologies demonstrated enhanced accuracy and reliability, effectively mitigating environmental interferences and signal attenuation. <i>Conclusions:</i> The study provides valuable insights for logistics practitioners, emphasizing the importance of selecting IPS technologies suited to specific operational contexts, where precision and reliability are critical to operational success.https://www.mdpi.com/2305-6290/8/4/126logisticsindoor positioning systemtrackingindoor technologies |
| spellingShingle | Laura Vaccari Antonio Maria Coruzzolo Francesco Lolli Miguel Afonso Sellitto Indoor Positioning Systems in Logistics: A Review Logistics logistics indoor positioning system tracking indoor technologies |
| title | Indoor Positioning Systems in Logistics: A Review |
| title_full | Indoor Positioning Systems in Logistics: A Review |
| title_fullStr | Indoor Positioning Systems in Logistics: A Review |
| title_full_unstemmed | Indoor Positioning Systems in Logistics: A Review |
| title_short | Indoor Positioning Systems in Logistics: A Review |
| title_sort | indoor positioning systems in logistics a review |
| topic | logistics indoor positioning system tracking indoor technologies |
| url | https://www.mdpi.com/2305-6290/8/4/126 |
| work_keys_str_mv | AT lauravaccari indoorpositioningsystemsinlogisticsareview AT antoniomariacoruzzolo indoorpositioningsystemsinlogisticsareview AT francescololli indoorpositioningsystemsinlogisticsareview AT miguelafonsosellitto indoorpositioningsystemsinlogisticsareview |