RTLS Systems as a Lean Management Tool for Productivity Improvement

Nowotarski, Piotr; Pasławski, Jerzy; Skrzypczak, Maciej; Krygier, Radoslaw

doi:10.22260/isarc2017/0143

Cited by 5 publications

(6 citation statements)

References 14 publications

(16 reference statements)

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“…The two main groups are radio-based and non-radio-based techniques. The most common technologies are ultra-wideband (UWB) [ 33 ], WiFi [ 34 ] and Bluetooth Low Energy (BLE) [ 35 ]. Information flow in the manufacturing industries is based on the

and

layers.…”

Section: Iot Layerwise Presentation Of Industry 40 and Operator 40 Re...mentioning

confidence: 99%

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0

Ruppert

Darányi

Medvegy

et al. 2022

Sensors

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One of the main challenges of Industry 4.0 is how advanced sensors and sensing technologies can be applied through the Internet of Things layers of existing manufacturing. This is the so-called Brownfield Industry 4.0, where the different types and ages of machines and processes need to be digitalized. Smart retrofitting is the umbrella term for solutions to show how we can digitalize manufacturing machines. This problem is critical in the case of solutions to support human workers. The Operator 4.0 concept shows how we can efficiently support workers on the shop floor. The key indicator is the readiness level of a company, and the main bottleneck is the technical knowledge of the employees. This study proposes an education framework and a related Operator 4.0 laboratory that prepares students for the development and application of Industry 5.0 technologies. The concept of intelligent space is proposed as a basis of the educational framework, which can solve the problem of monitoring the stochastic nature of operators in production processes. The components of the intelligent space are detailed through the layers of the IoT in the form of a case study conducted at the laboratory. The applicability of indoor positioning systems is described with the integration of machine-, operator- and environment-based sensor data to obtain real-time information from the shop floor. The digital twin of the laboratory is developed in a discrete event simulator, which integrates the data from the shop floor and can control the production based on the simulation results. The presented framework can be utilized to design education for the generation of Industry 5.0.

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and

layers.…”

Section: Iot Layerwise Presentation Of Industry 40 and Operator 40 Re...mentioning

confidence: 99%

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0

Ruppert

Darányi

Medvegy

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Utilizing RFID tags within an IPS is a favourable approach in different industries, such as construction [64,65], fast-moving consumer goods production [66], automotive part manufacturing [67], automobile assembly manufacturing [68], agriculture equipment machine part manufacturing [69] and the job shop floor environment [70]. In the manufacturing shop floor environment, IPS can be beneficial as it can enrich data acquisition for LM [71] and it can be used to obtain dynamic spaghetti diagrams, which are used for the visualization of the value streams [72]. Camera [73,74]; Bar-code scanner [73]; RFID [62,75]; Machine/Event logs [76]; IPS [37] high Real-time monitoring of the position of semi-finished products and resources, calculation of the lead and cycle times [42,43].…”

Section: Utilisation Of Location-information In Lean 40mentioning

confidence: 99%

“…Machine logs [76]; IPS [37] high Tracked semi-finished products, waiting times, internal stock levels [71].…”

Section: Waste Of Waitingmentioning

confidence: 99%

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Indoor Positioning Systems Can Revolutionise Digital Lean

2021

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The powerful combination of lean principles and digital technologies accelerates waste identification and mitigation faster than traditional lean methods. The new digital lean (also referred to as Lean 4.0) solutions incorporate sensors and digital equipment, yielding innovative solutions that extend the reach of traditional lean tools. The tracking of flexible and configurable production systems is not as straightforward as in a simple conveyor. This paper examines how the information provided by indoor positioning systems (IPS) can be utilised in the digital transformation of flexible manufacturing. The proposed IPS-based method enriches the information sources of value stream mapping and transforms positional data into key-performance indicators used in Lean Manufacturing. The challenges of flexible and reconfigurable manufacturing require a dynamic value stream mapping. To handle this problem, a process mining-based solution has been proposed. A case study is provided to show how the proposed method can be employed for monitoring and improving manufacturing efficiency.

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“…[ 22 ] as well analyzed the existing IPSs, but from a more technical point of view (on the basis of different location predication approaches); in their study, Ref. [ 23 ] defined RTLS as a Lean Management tool for productivity improvement. Several other examples could be mentioned demonstrating the relevance of such systems, and at the same time, their huge cost.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost UWB Based Real-Time Locating System: Development, Lab Test, Industrial Implementation and Economic Assessment

Volpi

Tebaldi

Matrella

et al. 2023

Sensors

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This paper presents the technical development and subsequent testing of a Real-Time Locating System based on Ultra-Wideband signals, with the aim to appraise its potential implementation in a real industrial case. The system relies on a commercial Radio Indoor Positioning System, called Qorvo MDEK1001, which makes use of UWB RF technology to determine the position of RF-tags placed on an item of interest, which in turn is located in an area covered by specific fixed antennas (anchors). Testing sessions were carried out both in an Italian laboratory and in a real industrial environment, to determine the best configurations according to some selected performance indicators. The results support the adoption of the proposed solution in industrial environments to track assets and work in progress. Moreover, most importantly, the solution developed is cheap in nature: indeed, normally tracking solutions involve a huge investment, quite often not affordable above all by small-, medium- and micro-sized enterprises. The proposed low-cost solution instead, as demonstrated by the economic assessment completing the work, justifies the feasibility of the investment. Hence, results of this paper ultimately constitute a guidance for those practitioners who intend to adopt a similar system in their business.

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RTLS Systems as a Lean Management Tool for Productivity Improvement

Cited by 5 publications

References 14 publications

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0

Indoor Positioning Systems Can Revolutionise Digital Lean

Low-Cost UWB Based Real-Time Locating System: Development, Lab Test, Industrial Implementation and Economic Assessment

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