Showing papers in "Procedia CIRP in 2020"

TL;DR: A systematic review of today’s applications of ML techniques in the factory environment and an overview of ML training concepts in learning factories is given.

TL;DR: In this article, the authors focus on the core of supply chain resilience (SCRes), which is the ability of a supply chain to respond quickly to any disruptions in its process.

TL;DR: This study evaluated AR-based remote maintenance processes supported by cutting edge optical head-mounted display technology and identified both case-specific and general issues, and the inherent potential of the technology.

TL;DR: A deep reinforcement learning-based method is proposed to minimize the maximum completion time of all tasks and the agent, environment, as well as the interaction between them, are designed.

TL;DR: A method for creating a digital twin based on planning and process data for machining processes by using the example of components in the aerospace industry, based on an information model that combines the properties and relationships of relevant information and data involved in the manufacturing process.

TL;DR: In this article, the authors proposed to evaluate the relationship between Circular Economy and digital technologies by using Business Model Canvas integrating the R-principles such as reuse, remanufacture and recycle.

TL;DR: In this paper, a cross-sectional study was undertaken to explore the potential relationship between Industry 4.0, Information and communication technologies (ICT), and Digital Twin towards mass personalization.

TL;DR: The article presents the basics of the technology, highlighting its main advantages and limitations, and aims to collect the latest trends (e.g., 4D printing, bioprinting, hybrid processes and micromanufacturing), applications and developments that this technology currently has.

TL;DR: The development and application of PVD coatings to improve the performance and extend the life of medical devices and the defects of different medical devices during use are reviewed.

TL;DR: The results of the four-year SME support are presented, and the most frequent and most effective measures for a successful digital transformation of SMEs are presented.

TL;DR: Investigation of the stability and efficiency of Artificial Intelligence techniques, the artificial neural network for eliminating or reducing traffic volume in the case of non-autonomous vehicles in a mixed South African traffic flow conditions suggests that ANN model produced the best possible results for traffic congestion in a heterogeneous traffic condition.

TL;DR: This paper presents the concept of a digital twin-based virtual factory and its architecture to support modelling, simulation and evaluation of manufacturing systems while employing multi-user (collaborative and coordinated) virtual reality learning/training scenarios.

TL;DR: In this article, three types of electropolishing, direct current, pulse/pulse reverse current and pulsed current, were investigated and the results showed a significant improvement of the roughness on the external surfaces of the test sample for all parameter sets.

TL;DR: By introducing a physiological monitoring system and a smart decision-maker, relief from fatigue and mental stress is pursued by adjusting the level of support offered through a cobot.

TL;DR: A critical review of an intelligent transportation system, un-signalized road intersections and traffic congestions problems in the city of Johannesburg, South Africa is presented.

TL;DR: This paper presents a conceptual diagram and framework for implementing a circular economy utilizing the promising technologies and concept and explores opportunities to foster these relationships.

TL;DR: The possibilities and limits of applying AutoML in production are shown, including a benchmarking of available systems and it is shown that AutoML still requires programming knowledge and is outperformed by manual implementation - but sufficient results are available in a shorter timespan.

TL;DR: The objective of the system is to allow the water consumer in home to be able to judge the quality of the incoming water and to control it to the required levels and to eliminate the inconvenient and lengthy off line lab analysis of collected water samples.

TL;DR: In this article, the surface roughness of the horizontally and vertically SLM built channels as well as EDM generated channels are measured with a stylus, and the stylus measurement reveals significant improvement.

TL;DR: A way to use augmented reality to retrofit a production machine to save time and cost and to help the machine user to do the right things in the right sequence.

TL;DR: In this article, a first-time study of machining on additively manufactured Inconel 939 material is presented with the focus on surface properties, and the results showed that the cutting parameters, heat treatment condition and build direction have an effect on the surface properties.

TL;DR: A collection and classification of prerequisites and design guidelines are developed starting from international standards, research works and real use cases to support application designers to proper develop and evaluate safe, human-centered and efficient collaborative assembly workstations.

TL;DR: The paper will elaborate the benefits and potentials of DT, in comparison with the existing planning approaches, in terms of demand forecast, aggregate planning and inventory planning.

TL;DR: A classification scheme for describing industrial AR applications, extending the state of the art with an use-case-related classification approach and a catalogue with 16 AR use case profiles, providing transparency on industrial applications and potential benefits of AR and inspiring companies on how to utilize AR for their own business.

TL;DR: In this paper, an automated guided vehicle (AGV) system for restaurant stores was developed and used in a Japanese cuisine restaurant to reduce work hours and to improve service quality, and the results showed that AGV introduction reduces work hours, and that it enhances labor productivity.

TL;DR: Different applications and the possible design methods of the digital twin are analyzed to present the advantages and disadvantages of the respective methods and to suggest suitable design methods for the selected applications.

TL;DR: This research paper presents a framework for generating AR maintenance instructions, based on advanced computer vision and Convolutional Neural Networks, and the applicability of the framework is tested in-vitro in a lab-based machine shop.

TL;DR: A Convolutional Neural Network based deep learning method is proposed which enables the prediction of deviations for different shapes and process settings and it's demonstrated that the trained network manages to accurately predict the geometric deviations of shapes manufactured with varied size and process parameter settings.

TL;DR: The process model for the development of a digital strategy is presented and the process model is extended by methods for the single phases to enable manufacturing companies in particular to develop their individual digital strategies.

TL;DR: In this paper, a 3D finite element simulation is used to investigate the influence of repetitive stress on hard milling, and the formation of stresses at variable tooth feed, but with constant cutting speed and depth of cut is investigated.