Application of Augmented Reality (AR) Technologies in inhouse Logistics

Wang, Wei; Wang, Fei; Song, Wei; Su, Shun

doi:10.1051/e3sconf/202014502018

Cited by 39 publications

(18 citation statements)

References 11 publications

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“…In addition, operators are more comfortable, and it is easier for them to pay more attention to their task, as they avoid making unnecessary head moves. According to the activities related to order picking, the use of AR technology is summarized as follows: inform pickers about their next allocated tasks, display pictures and details of products to be picked, display storage location and picking route, give information to prevent congestion in aisles, scan and highlight items to be picked and their respective physical locations, monitor pickers' condition and performance [36].…”

Section: Order Picking Support Systemsmentioning

confidence: 99%

Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach

Bright

Ponis

2021

Logistics

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In the last decade, the Industry 4.0 concept has introduced automation and cyber-physical systems as the core elements of future logistics, supported by an array of technologies, such as augmented reality (AR) providing the necessary support for the digital transformation of manufacturing and logistics and the smartification and digital refinement of traditional pre-Industry 4.0 processes. This paper studies the influence and the potential of gamification techniques in supporting innovative Industry 4.0-enhanced processes in the contemporary warehouse work ecosystem. Gamification in the workplace aims to motivate the employees and increase their involvement in an activity, while at the same time creating a sense of an everyday different experience rather than a set of repetitive and monotonous tasks. Since the design of such a system is a complex process, the most widespread design frameworks are studied, and the emphasis is on the principal game elements and their connection to mobilization mechanisms. Finally, an initial proposal of a gamification framework to support the AR-enhanced order picking process in contemporary logistics centers is provided with an emphasis on the mechanics of a fair and functional reward system. The proposed approach aims to showcase the potential alignment of business processes to human motivation, respecting the differences between tasks and the workers’ cognitive workload.

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Section: Order Picking Support Systemsmentioning

confidence: 99%

Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach

Bright

Ponis

2021

Logistics

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“…Even though the likelihood of such events is low, the impact is high, and thus avoiding them is given a high priority. The implementation of the Internet of Things technology to continuously track goods [3] and for better visualization [4] can help to reduce both the likelihood as well as the impact of those risks [5]. To implement, use and rely upon this supportive technology, there is a need for qualification and training of warehouse operators [6,7] as well as of the management involved in the decision-making process of selecting the right technology for its implementation, taking infrastructural boundaries into account [5,8].…”

Section: User Storymentioning

confidence: 99%

Data-Driven Warehouse Logistics Concepts

Baalsrud-Hauge¹,

Chowdhury²,

Basu³

et al. 2022

Online-Labs in Education

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Effort in lecture hours (given by the teacher and facilitator)Theory: 60 min (if on-site, 2 classes; if remote, 3x20) Safety introduction 15 min on-site, 15 min remote Lab operation 120 min (2x3x20 min) 3x20 min of debriefing after class Effort Self-study (flipped classroom) Preparation 4 h 4 h for report analysis ECTS 0.5 ECTS Pre-requisites Needs to have completed a basic course on introduction to smart logistics, introduction to CPS or similar. However, this is an intro course with a focus on application and experiential learning. Additional informationTo carry out the experiment, passing a safety test is required A facilitator and a technician need to be on-site in the lab The students should submit lab reports afterwards AdaptabilityThe usage of the mixed reality environment is flexible. We have a different set of theories if class is on an advanced level

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“…Despite not totally mature for every industrial applications due to hardware factors such as ergonomic aspects like weight and movement restraint, which do limit the number of components and features that a visualization equipment can have, due to software factors such as tracking and recognition technology limitations, lack of standards on applications development and on how and which information should be displayed to the user, as well as due to being a new technology yet to be fully integrated into enterprise resource planning systems (ERP) and manufacturing execution systems (MES) [ 30 , 31 ], AR has been used in plenty of different industrial applications such as: Assembly support [ 32 ]; Maintenance support [ 33 ]; Remote assistance [ 34 ]; Logistics [ 35 ]; Training [ 36 ]; Quality Control [ 37 ]; Data visualization/feedback [ 38 ]; Welding [ 39 ]; Product design/authoring [ 40 ]; and Safety [ 41 ] among other applications including Human–Robot Collaboration that will be discussed next. Thus, proving that AR is a promising tool to increase the operator’s performance and safety conditions, increase activities execution speed, decrease the error rate during task execution, rework and redundant inspection, and reduce mental workload.…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review

Costa

Petry

Moreira

2022

Sensors

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With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human–robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers’ published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human–robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution’s target audience, and on establishing standards and guidelines for developing AR assistance systems.

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Application of Augmented Reality (AR) Technologies in inhouse Logistics

Cited by 39 publications

References 11 publications

Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach

Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach

Data-Driven Warehouse Logistics Concepts

Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review

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