Spatial Mapping Approach to Component Tracking Using RTLS System

Akanmu, Abiola; Rasheed, Syed Hammad; Qader, Ikhlas Abdel

doi:10.1061/9780784412909.035

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…Optimal reader placement for asset tracking was discussed in [12]. Several authors discussed RTLS support for decision making systems and improvements in maintenance [13], construction consistency checking and component tracking [14,15], collision avoidance [16], offshore logistics [17]. Massive number of papers were related to healthcare application i.e.…”

Section: Applications Of Rtlsmentioning

confidence: 99%

An Approach to RTLS Selection

Gładysz¹,

Santarek²

2018

dtetr

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Real Time Locating System has become an important part of supporting technologies applied in a wide range of logistics related to many sectors and branches, as warehousing, manufacturing or healthcare offering real time visibility of assets. It increases assets utilization. RTLS is a very wide term covering many different specific technologies. The use of a specific technology effects in achieving different performance metrics. Therefore, the selection of a specific technology (or mix) is multi-criteria decision making problem. A set of criteria for RTLS selection was discussed and confronted with a set of criteria for assessment of identification systems and an application of TOPSIS for the selection of RTLS was presented.

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Section: Applications Of Rtlsmentioning

confidence: 99%

An Approach to RTLS Selection

Gładysz¹,

Santarek²

2018

dtetr

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“…Production Cycle time optimization UWB [51] Production Position data-based decision making UWB [52]; RFID [53,54] Production Activity-Time monitoring in production line UWB [55] Production Digital Facility Layout Planning Independent [56] Logistics Logitics management RFID [57]; Hybrid [21]; Independent [20] Logistics Warehouse management RFID [58]; WiFi [59] Logistics Pallet management RFID [31] Logistics Material/component and production tracking WiFi [60]; UWB [31,61]; RFID [31,[62][63][64][65]; Hybrid [66]; Laser [30]; Barcode [67] Logistics Assets tracking Bluetooth [68]; RFID [69][70][71][72]; Hybrid [73]; UWB [74,75]; Laser [29]; Barcode [67]; ZigBee [46] Quality Weak spot analyzis in production UWB [76] Safety Safety management RFID [33] Safety Collision avoidance UWB [77] Table 3. Cont.…”

Section: Application Type Application Technologymentioning

confidence: 99%

Real-Time Locating System in Production Management

Rácz-Szabó

Ruppert

Bántay

et al. 2020

Sensors

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Real-time monitoring and optimization of production and logistics processes significantly improve the efficiency of production systems. Advanced production management solutions require real-time information about the status of products, production, and resources. As real-time locating systems (also referred to as indoor positioning systems) can enrich the available information, these systems started to gain attention in industrial environments in recent years. This paper provides a review of the possible technologies and applications related to production control and logistics, quality management, safety, and efficiency monitoring. This work also provides a workflow to clarify the steps of a typical real-time locating system project, including the cleaning, pre-processing, and analysis of the data to provide a guideline and reference for research and development of indoor positioning-based manufacturing solutions.

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“…In the public sector localization can provide lifesaving information to military, law enforcement, and emergency services [1], as well as inform traffic and city management. In the construction industry object tracking is a growing field with important applications to asset and building site management [2].…”

Section: Introductionmentioning

confidence: 99%

Kalman filters for reducing error in RFID real-time localization systems

Sanda¹,

Abdel‐Qader²,

Akanmu

2014

IEEE International Conference on Electro/Information Technology

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The use of Radio Frequency Identification (RFID) has become widespread in industry as a means to quickly and wirelessly identify and track packages and equipment. Now there is a commercial interest in using RFID to provide real-time localization. Efforts to use RFID technology for this purpose experience localization errors due to noise and non-line-of-sight effects inherent to these environments. This paper presents the use of both linear and non-linear Kalman filters to reduce error effects inherent to real-time RFID localization systems and provide more accurate localization results in indoor environments. A commercial RFID localization system designed for use by the construction industry is used in this work, and a mathematical model and approach are developed. The model is tested with real-world data and shown to provide an increase in localization accuracy when applied to both raw distance difference of arrival measurements as well as final trilateration results.

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Spatial Mapping Approach to Component Tracking Using RTLS System

Cited by 5 publications

References 12 publications

An Approach to RTLS Selection

An Approach to RTLS Selection

Real-Time Locating System in Production Management

Kalman filters for reducing error in RFID real-time localization systems

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