Data collection for ergonomic evaluation at logistics workplaces using sensor system

Horváthová, Blanka; Dulina, Ľuboslav; Cechova, Ivana; Gašo, Martin; Bigošová, Eleonóra

doi:10.1016/j.trpro.2019.07.149

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…The current development and digital industrialization enable the gradual exchange of activities through technologies (Fusko, 2017;Kliment, 2020). Within the concept of Industry 4.0, it is necessary to understand that it is possible to transform some human activities utilizing available technologies (Horváthová, 2019;Štefánik, 2003). As mentioned above, the marketing mix consists of four basic components.…”

Section: Proposal For the Use Of Augmented Reality Technology In Trade And Marketingmentioning

confidence: 99%

Augmented Reality as a Powerful Marketing Tool

Krajčovič

Matys

Biňasová

et al. 2021

PEB

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Today's market is oversaturated with new technologies that are slowly moving through our daily routine. Businesses often have to pursue new strategies to reach new customers and retain existing ones. Popular technologies of today undoubtedly include virtual reality (VR) and augmented reality (AR). The application of augmented reality in the field of trade, marketing, promotion of products and services has its own potential and justification. A questionnaire survey of the current state of AR utilization in companies of Central Slovakia shows that the interest in the use of this technology exists in this area, although in practice it is implemented rather rarely. However, a suitable design solution and the worldwide trend of smartphone use can help to achieve the goal of greater implementation. The design of the methodology for the use of AR in the field of marketing consist of a sequence of several basic steps. Verification of the proposed methodology is carried out on a practical example by creating a real mobile application using augmented reality to promote the selected product. The final mobile application includes several attractive features for the end-user which can be accessed through a smartphone and displayed in augmented reality. Such a mobile application in augmented reality provides the company with a powerful marketing tool, but it also has its limitations.

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Section: Proposal For the Use Of Augmented Reality Technology In Trade And Marketingmentioning

confidence: 99%

Augmented Reality as a Powerful Marketing Tool

Krajčovič

Matys

Biňasová

et al. 2021

PEB

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“…Short-term fatigue measurement [16,[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] Reduction of fatigue [7,15,24,[34][35][36][37][38][39][40][41][42][43] Integration of human short-term fatigue in an industrial decision system [2,[44][45][46][47][48][49][50][51][52][53][54][55]…”

Section: Short-term Fatiguementioning

confidence: 99%

“…Another fully wearable solution has been developed by Conforti et al [21], in order to determine the precise force exerted on the lower limbs up to the L5/S1 joint on the body, during a manual handling task. Heartbeat is also an indicator used in the understanding of the difficulty of a task and on the fatigue the operator may experience [26,29]. A more practical solution is to use a smartphone-or smartwatch-integrated accelerometer, which monitors the movement of the body in order to obtain information about energy expenditure during an effort [22,32].…”

Section: Short-term Fatigue Measurementmentioning

confidence: 99%

Health-Related Parameters for Evaluation Methodologies of Human Operators in Industry: A Systematic Literature Review

et al. 2021

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Human factors have always been an important part of research in industry, but more recently the idea of sustainable development has attracted considerable interest for manufacturing companies and management practitioners. Incorporating human factors into a decision system is a difficult challenge for manufacturing companies because the data related to human factors are difficult to sense and integrate into the decision-making processes. Our objectives with this review are to propose an overview of the different methods to measure human factors, of the solutions to reduce the occupational strain for workers and of the technical solutions to integrate these measures and solutions into a complex industrial decision system. The Scopus database was systematically searched for works from 2014 to 2021 that describe some aspects of human factors in industry. We categorized these works into three different classes, representing the specificity of the studied human factor. This review aims to show the main differences between the approaches of short-term fatigue, long-term physical strain and psychosocial risks. Long-term physical strain is the subject that concentrates the most research efforts, mainly with physical and simulation techniques to highlight physical constraints at work. Short-term fatigue and psychosocial constraints have become a growing concern in industry due to new technologies that increase the requirements of cognitive activities of workers. Human factors are taking an important place in the sustainable development of industry, in order to ameliorate working conditions. However, vigilance is required because health-related data creation and exploitation are sensible for the integrity and privacy of workers.

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“…However, due to the complexity of data acquisition environments and limitations in technology, there exists a considerable variance in the degree of automation in data acquisition processes across different stages of digitalization. Extensive human assists are required in various scenarios such as complex image recognition, extraction of unstructured textural data, and recording of data in traditional production scenarios [1][2][3][4] . Compared to automated devices, the instability nature of manpower may lead to human errors and compromised data quality.…”

Section: Introductionmentioning

confidence: 99%

Modeling the cost in human-assisted data acquisition processes

Wang,

Sun

2024

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)

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With the continuous advancement of digitization across various industries, the demand for data has significantly increased, making data production a critical component in different industry production chains. Throughout different stages of digitalization, there exists a considerable variance in the degree of automation in data acquisition. Human-assisted data acquisition (HADA) processes, such as complex image recognition, extraction of unstructured textual data, and recording of data in traditional production scenarios, often incur higher acquisition costs. The understanding of data acquisition costs holds great significance in making optimal resource allocation decisions to acquire high quality data for subsequent applications during industry digitalization processes. This paper, based on Cost of Quality (CoQ) and Performance Shaping Factor (PSF) theories, proposes a universal cost analysis framework model for general human-assisted data acquisition processes. We contend that there exists a trade-off relationship between data quality and labor cost in human-assisted data acquisition processes. Furthermore, we take dietary data acquisition as an example and conduct a quantitative analysis of the trade-off relationship between data quality and labor cost using the proposed framework.

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Data collection for ergonomic evaluation at logistics workplaces using sensor system

Cited by 6 publications

References 2 publications

Augmented Reality as a Powerful Marketing Tool

Augmented Reality as a Powerful Marketing Tool

Health-Related Parameters for Evaluation Methodologies of Human Operators in Industry: A Systematic Literature Review

Modeling the cost in human-assisted data acquisition processes

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