A full shift field study to evaluate user- and process-oriented aspects of smart glasses in automotive order picking processes

Murauer, Nela; Pflanz, Nerina

doi:10.55612/s-5002-038-004

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…Additionally, the application of Augmented Reality (AR) in maintenance tasks is gaining prominence. A study on the use of smart glasses in automotive order picking processes demonstrates how AR can reduce time and errors, subsequently decreasing costs (Murauer & Pflanz, 2018). This technology also considers the impact on employees, ensuring that the adoption of new technologies is both efficient and user-friendly.…”

Section: Assistance System For Maintenance In the Process Industrymentioning

confidence: 99%

Towards Integrated Learning and Assistance Systems: A Framework for Technology Selection and Design

Alkhallas,

Abraheem,

Salem

et al. 2024

Brilliance

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In the era of Industry 4.0, advanced assistance technologies have permeated manufacturing processes, yet the absence of systematic implementation methods remains a challenge. This research presents a multidimensional framework developed through inductive reasoning, encompassing technological capabilities and instructional considerations. Its primary objective is to guide the development of context-specific assistance solutions, shifting the focus from automated solutions to thoughtful technology selection and implementation. The framework's application has the potential to elevate stakeholder design processes through interactive visualizations and experiential anchoring. Notably, the adoption of cognitive assistance systems within manufacturing is on the rise, driven by the maturation of virtual and augmented reality solutions. However, a notable gap exists in systematic approaches for selecting and designing these technologies. This paper addresses this gap by proposing a comprehensive framework grounded in an inductive approach. This research seeks to enhance awareness among decision-makers in companies regarding essential selection and decision criteria. Furthermore, it offers guidance for a systematic and participatory implementation process. The research results underscore the importance of adopting such a framework in the industry 4.0 landscape, shedding light on the need for strategic technology integration. This study suggests that the proposed framework can serve as a valuable tool to facilitate informed decision-making and drive the successful implementation of assistance technologies in manufacturing processes.

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Section: Assistance System For Maintenance In the Process Industrymentioning

confidence: 99%

Towards Integrated Learning and Assistance Systems: A Framework for Technology Selection and Design

Alkhallas,

Abraheem,

Salem

et al. 2024

Brilliance

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“…This is primarily done through the elimination of unnecessary movements and the minimization of time spent searching for necessary information. The authors in [7] state that, while the operator receives orders, AR glasses display certain information. This information reduces the time necessary for the task by eliminating excessive movements of the head and body.…”

Section: Improvements In Visualizationmentioning

confidence: 99%

The Sustainability of Urban Postal Logistics and the AR Technology

Radosavljević,

Grgurović,

Milutinović

et al. 2023

Second International Conference on Advances in Traffic and Communication Technologies (ATCT 2023)

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Sustainable urban logistics encompasses a rational movement of goods via various modes of transport, as well as the management of warehouses, warehouse complexes, and delivery networks. Urban postal logistics is becoming gradually more important as the urban population and e-commerce are increasing. Efficient and sustainable delivery management in narrower city cores is important for the alleviation of traffic congestion, air pollution, and carbon emissions. In addition, it plays a crucial role in enabling fast and reliable delivery of goods to end users and companies. Some key challenges in urban logistics include limited room for warehousing and distribution, traffic congestion, pollution, noise, and gradually shorter expected delivery times. To tackle all these challenges, urban logistic solutions can include alternative transportation options, route and delivery optimization, as well as the application of smart technologies and data analysis. AR (augmented reality) has the potential to make postal-logistic operations more efficient, economical, and safer through the use of real-time data, visualization, and remote assistance. On the road to sustainability, the visualization of operations can be especially useful. This allows logistics managers to better understand the flow of goods and make timely decisions. Equally important is the education of personnel through simulations of technological processes or their parts, and remote assistance, which can engage users through an interactive experience and improve customer satisfaction through a 3D representation of goods in their environment.

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“…In addition, the nature of the order picking logic itself may influence HWD use as well (Terhoeven et al, 2018;Elbert and Sarnow, 2019;Fager et al, 2019). Concerning the person-related conditions, a list of widely applied user acceptance models have repeatedly tested whether individual order pickers respond in a varying way to easiness to use and perceived usefulness (Williams et al, 2015;Murauer and Pflanz, 2018; Digital technologies for order picking Smith et al, 2021;Stoltz et al, 2017;Terhoeven et al, 2018). Although acceptance models do not take account that explaining the use of the HWD may lie outside person-related conditions, the central idea is that individual order pickers may differ in embracing the HWD (Zuidhof et al, 2021).…”

Section: Job-related and Person-related Conditionsmentioning

confidence: 99%

“…Concerning the person-related conditions, a list of widely applied user acceptance models have repeatedly tested whether individual order pickers respond in a varying way to easiness to use and perceived usefulness (Williams et al. , 2015; Murauer and Pflanz, 2018; Smith et al. , 2021; Stoltz et al.…”

Section: Hwds For Order Pickingmentioning

confidence: 99%

Putting head-worn displays to use for order picking: a most-similar comparative case study

Bal

Vermeerbergen

Benders

2022

IJLM

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PurposeThis paper aims to identify why warehouses do or do not succeed in putting to use digital technologies for order picking.Design/methodology/approachBuilding on structuration theory, the authors investigate the situated use of one such a digital technology, more particularly the head-worn display (HWD). Based on a most-similar comparative case study of two Belgian warehouses pioneering HWDs, the authors focus on whether and how order pickers and their manager interact to modify the properties, functionalities, and the context in which the HWD is used.FindingsIn one warehouse, using the HWD was discontinued after implementation. In the other, order pickers and the order pickers' manager succeeded in implementing the HWD into their work. The authors find that the prime explanation for these opposite findings lies in the extent to which order pickers were given room to improve the properties and functionalities of the HWD as well as the conditions that unfold in the HWD's use context. In the latter warehouse, pressing issues were overcome and improvement suggestions were implemented, both regarding the HWD itself as well as regarding the job-related and person-related conditions.Originality/valueTheoretically, the authors contribute to the situated use of technology stating that (1) giving room to alter the use of digital technologies, and (2) fostering continuous employee participation regarding conditions stemming from the use context are necessary to realize the promising and unexploited potential of digital technology in practice. Empirically, this paper exposes distinct types of interactions that explain whether and how digital technologies, in particular HWDs, are put to use for order picking practices.

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A full shift field study to evaluate user- and process-oriented aspects of smart glasses in automotive order picking processes

Cited by 10 publications

References 12 publications

Towards Integrated Learning and Assistance Systems: A Framework for Technology Selection and Design

Towards Integrated Learning and Assistance Systems: A Framework for Technology Selection and Design

The Sustainability of Urban Postal Logistics and the AR Technology

Putting head-worn displays to use for order picking: a most-similar comparative case study

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