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: 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: 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: 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: 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: 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: 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: 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: 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: A statistical analysis of the features in acoustic signals is reported to perceive the characteristics of failure modes occurring during layering of stainless steel 316L and the visualization of the feature space distribution that corresponds to different failure modes shows the potentials of applying machine learning for in situ classification.

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 article, the authors explore the use of project-based learning as an effective pedagogy to integrate institutional curriculum in a mechanical engineering design course and the skills demands for the world of work.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: This study interview experts and review the literature to gain an overview of what exactly drives companies to look for digital twin solutions in the manufacturing environment, what factors enable these initiatives to be successful, and what are the barriers that compromise or slow down implementation efforts.

TL;DR: In this paper, the application of additively manufactured functional elements in deep drawing tools is investigated, and the first concept of such tools, first experimental test series are described and analyzed.

TL;DR: A physical manufacturing testbed was developed which bends metal into V-brackets alongside a digital twin counterpart consisting of the three elements and the bend angles predicted by the process digital-twin were within 0.5° and 3° of the physical product for two different test scenarios.

TL;DR: This review looks at framework designs, enabling technologies and implementation processes for product traceability systems in manufacturing, finding commonalities between traceable systems in both design and implementation were found.

TL;DR: In this paper, the current state of the art of these three technologies and their direct comparison with regard to the weldability of copper is discussed in terms of seam quality, maximum welding depth and process speed.

TL;DR: The proposed digital twin technology is capable to predict the wear condition of micro tool using electric current data of spindle motor and shows promising result of TCM in micro-milling within Industry 4.0 framework.

TL;DR: In this paper, the authors provide a view on the selection of welding equipment in terms of beam oscillation, power modulation, beam shaping, filler wire and shielding gas, and analyze their impact on joint integrity for 6xxx grades aluminium extrusions.