A use case study comparing augmented reality (AR) and electronic document-based maintenance instructions considering tasks complexity and operator competency level

Havard, Vincent; Baudry, David; Jeanne, Benoit; Louis, Anne; Savatier, Xavier

doi:10.1007/s10055-020-00493-z

Cited by 16 publications

(7 citation statements)

References 32 publications

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“…In fact, even if the participants received a brief training, most of them (12 out of 18) reported no, or low, previous knowledge of AR or SG. Moreover, as con rmed by the NASA-TLX scores, the animal identi cation task was straightforward, while the AR systems showed better results in complex operations [41,42]. A possible explanation for the difference between BT300 + SMGL and HL + SMGL, in terms of operative performances, could be related to the spatialization of the information of the MR system.…”

Section: Discussionmentioning

confidence: 84%

Advancements in Electronic Identification of Animals and Augmented Reality Technologies in Digital Livestock Farming

Pinna

Sara

Todde

et al. 2023

Preprint

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Modern livestock farm technologies allow operators to have access to a multitude of data thanks to the high number of mobile and fixed sensors available on both the livestock farming machinery and the animals. These data can be consulted via PC, tablet, and smartphone, which must be handheld by the operators, leading to an increase in the time needed for on-field activities. In this scenario, the use of augmented reality smart glasses could allow the visualization of data directly in the field, providing for a hands-free environment for the operator to work. Nevertheless, to visualize specific animal information, a connection between the augmented reality smart glasses and electronic animal identification is needed. Therefore, the main objective of this study was to develop and test a wearable framework, called SmartGlove that is able to link RFID animal tags and augmented reality smart glasses via a Bluetooth connection, allowing the visualization of specific animal data directly in the field. Moreover, another objective of the study was to compare different levels of augmented reality technologies (assisted reality vs. mixed reality) to assess the most suitable solution for livestock management scenarios. For this reason, the developed framework and the related augmented reality smart glasses applications were tested in the laboratory and in the field. Furthermore, the stakeholders’ point of view was analyzed using two standard questionnaires, the NASA-Task Load Index and the IBM-Post Study System Usability Questionnaire. The outcomes of the laboratory tests underlined promising results regarding the operating performances of the developed framework, showing no significant differences if compared to a commercial RFID reader. During the on-field trial, all the tested systems were capable of performing the task in a short time frame. Furthermore, the operators underlined the advantages of using the SmartGlove system coupled with the augmented reality smart glasses for the direct on-field visualization of animal data.

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Section: Discussionmentioning

confidence: 84%

Advancements in Electronic Identification of Animals and Augmented Reality Technologies in Digital Livestock Farming

Pinna

Sara

Todde

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…The method differs from those identified from the maintenance instruction research because it focuses on reducing non-value-adding variety. As such, it can be used as an input or starting point for the methods highlighted in the literature section, such as the TOAMS (Huang et al ., 2015), customized maintenance documents (Huang et al ., 2014), or AR implementation (Fiorentino et al ., 2014; Havard et al ., 2021; Mourtzis et al ., 2020). From a maintenance architecture perspective, the method especially focuses on the links between the physical and action dimensions (Sigsgaard et al ., 2021a).…”

Section: Discussionmentioning

confidence: 99%

“…Similar results are seen in newer studies on the application of augmented reality (AR) in maintenance instructions. When introducing AR solutions instead of paper-or PDF-based methods, the amount of time spent on maintenance, as well as the number of errors, is reduced (Fiorentino et al, 2014;Havard et al, 2021;Mourtzis et al, 2020). Pham et al (2000) suggest a type of knowledge-based manual that allows a system to decide what instructions are needed based on user inputs.…”

Section: Maintenance Instructionsmentioning

confidence: 99%

Modular maintenance instructions architecture (MMIA)

Sigsgaard

Agergaard

Mortensen

et al. 2023

JQME

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PurposeThe study consists of a literature study and a case study. The need for a method via which to handle instruction complexity was identified in both studies. The proposed method was developed based on methods from the literature and experience from the case company.Design/methodology/approachThe purpose of the study presented in this paper is to investigate how linking different maintenance domains in a modular maintenance instruction architecture can help reduce the complexity of maintenance instructions.FindingsThe proposed method combines knowledge from the operational and physical domains to reduce the number of instruction task variants. In a case study, the number of instruction task modules was reduced from 224 to 20, covering 83% of the maintenance performed on emergency shutdown valves.Originality/valueThe study showed that the other methods proposed within the body of maintenance literature mainly focus on the development of modular instructions, without the reduction of complexity and non-value-adding variation observed in the product architecture literature.

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“…Historically, such instructions have been paper based (Toscano, 2000), but recent years have seen the introduction of technology based solutions using tablets and smartphones and augmented reality (AR) (Fiorentino et al, 2014). While studies on the use of AR in maintenance have shown usefulness in reduction of execution time (Fiorentino et al, 2014;Havard et al, 2021;Mourtzis et al, 2020), minimization of errors (Fiorentino et al, 2014), and improved input capture (Neges et al, 2015), these studies tend not to focus on how to determine what information to deliver and how this is developed from the instructions currently in use. To identify such information, Kindervater & Strobhar (2014) developed an approach using semantic analyses that created modules of procedures that revealed that for a single case study, only 10% of the operational content of the instructions was unique.…”

Section: Maintenance Actionsmentioning

confidence: 99%

Systematic maintenance action modularization for improved initiative prioritization

Agergaard¹,

Sigsgaard²,

Mortensen³

et al. 2022

How Product and Manufacturing Design Enable Sustainable Companies and Societies

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Maintenance action descriptions can easily contain large amounts of variation without describing variation in the actions taken. Especially when plants grow large, this variation makes it difficult to gain an overview and make decisions on initiative prioritization. This paper proposes a method for the decomposition of the maintenance actions into modules that can then give insight into the maintenance performance. The method evaluates the true variation of the maintenance actions and standardizes them, making it possible to show the true variation and performance of the maintenance activities

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A use case study comparing augmented reality (AR) and electronic document-based maintenance instructions considering tasks complexity and operator competency level

Cited by 16 publications

References 32 publications

Advancements in Electronic Identification of Animals and Augmented Reality Technologies in Digital Livestock Farming

Advancements in Electronic Identification of Animals and Augmented Reality Technologies in Digital Livestock Farming

Modular maintenance instructions architecture (MMIA)

Systematic maintenance action modularization for improved initiative prioritization

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