Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly

Keller, Thimo; Behling, Magnus; Stockinger, Christopher; Metternich, Joachim; Schützer, Klaus

doi:10.1007/s11740-020-01005-3

Cited by 9 publications

(2 citation statements)

References 15 publications

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“…The result of efforts to improve the competence in compiling teaching materials through Assistance that has been carried out is that participants understand the concepts and procedures involved in developing teaching materials, and this training is intended to improve the ability of lecturers to make teaching materials. Assistance can improve the performance and performance of lecturers (Keller et al, 2021;Yañez & Yañez, 2018). The following recommendations can be made based on the conclusions above, namely that each institution needs Assistance in implementing teaching materials by lecturers, and additional training activities are required to develop further lecturers' ability to make teaching materials.…”

Section: Discussionmentioning

confidence: 99%

Increasing Competence in Compiling Teaching Materials through Assistance in the Development of Teaching Materials for Lecturers

Pradana

Mustaji

Arianto

et al. 2023

IJCSL

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Teaching materials are an integral part of learning. Teaching materials will always develop according to technological and scientific developments. IAI Al-Khairat lecturers need an activity to help them improve their ability to compile the latest teaching materials. This mentoring activity for preparing teaching materials aims to assist lecturers in producing teaching materials that are by the characteristics of courses and students in the IAI Al-Khairat Pamekasan Madura environment. The development of teaching materials is one of the performance indicators used to evaluate the contribution of lecturers to the university's main performance indicators. Teaching materials in the main performance indicators can be used to show that the community uses them. Assistance in the development of teaching materials is carried out using the project-based learning method, where participants will produce drafts of course teaching materials. The subjects of this training activity were IAI Al-Khairat Pamekasan lecturers, totalling 30 lecturers. As a result of the training activities, lecturers can compile teaching materials on the subjects that are well taught and by the times. This activity concludes that the competence of lecturers in developing teaching materials is increasing.

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Section: Discussionmentioning

confidence: 99%

Increasing Competence in Compiling Teaching Materials through Assistance in the Development of Teaching Materials for Lecturers

Pradana

Mustaji

Arianto

et al. 2023

IJCSL

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“…Sensors 2022, 22, 495 2 of 17 interruptions [6]. Studies such as in [7] indicate that the impact of assembly assistance systems increases in the case of complex products and untrained persons.…”

Section: Smart Anomaly Detection and Prediction Can Significantly Red...mentioning

confidence: 99%

Robust Assembly Assistance Using Informed Tree Search with Markov Chains

Gellért

Sorostinean

Pirvu

2022

Sensors

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Manual work accounts for one of the largest workgroups in the European manufacturing sector, and improving the training capacity, quality, and speed brings significant competitive benefits to companies. In this context, this paper presents an informed tree search on top of a Markov chain that suggests possible next assembly steps as a key component of an innovative assembly training station for manual operations. The goal of the next step suggestions is to provide support to inexperienced workers or to assist experienced workers by providing choices for the next assembly step in an automated manner without the involvement of a human trainer on site. Data stemming from 179 experiment participants, 111 factory workers, and 68 students, were used to evaluate different prediction methods. From our analysis, Markov chains fail in new scenarios and, therefore, by using an informed tree search to predict the possible next assembly step in such situations, the prediction capability of the hybrid algorithm increases significantly while providing robust solutions to unseen scenarios. The proposed method proved to be the most efficient for next assembly step prediction among all the evaluated predictors and, thus, the most suitable method for an adaptive assembly support system such as for manual operations in industry.

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Development of Cooperative Artificial Intelligence (AI) Applications to Support Human Work in Manufacturing

Bruder

Stockinger

Petrat

et al. 2021

Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)

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Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly

Cited by 9 publications

References 15 publications

Increasing Competence in Compiling Teaching Materials through Assistance in the Development of Teaching Materials for Lecturers

Increasing Competence in Compiling Teaching Materials through Assistance in the Development of Teaching Materials for Lecturers

Robust Assembly Assistance Using Informed Tree Search with Markov Chains

Development of Cooperative Artificial Intelligence (AI) Applications to Support Human Work in Manufacturing

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