Showing papers in "Procedia CIRP in 2021"

TL;DR: A categorization in L STM with optimized cell state representations and LSTM with interacting cell states is proposed, and Sequence-to-sequence networks with partially conditioning outperform the other approaches, and are best suited to fulfill the requirements.

TL;DR: In this article, a case study is done in one of the MSMEs of India which is working on the adoption of Industry 4.0 practices in emerging economies, and the results revealed that supply chain and environment related enablers are the main cause of barriers to sustainability in Industry 4.,0.

TL;DR: The current status of virtual and augmented reality solutions in HRC with meta-analysis and missing elements are reviewed to highlight missing elements and future research directions and requirements are presented.

TL;DR: A new definition of the concept Digital Twin (DT) and Digital Shadow (DS) is given within the field of manufacturing technology and shows specific applications.

TL;DR: This research provides a basic concept for self-organized reconfiguration management and discusses the Cyber-Physical Production Systems and some of their potentials regarding the reconfigurations issues.

TL;DR: This paper aims to identify potential barriers which may hinder the implementation of industry 4.0 in manufacturing organizations by identifying barriers, through comprehensive literature review and on the basis of opinions collected from industry experts.

TL;DR: A prototypical implementation on the basis of a modular cyber-physical production system is described and the intelligent Digital Twin realized this way provides the four fundamental sub-processes of intelligence, namely observation, analysis, reasoning and action.

TL;DR: In this article, the authors present a review of hybrid approaches for fault detection and fault diagnosis that combine data-driven analysis with physics-based and knowledge-based models to overcome a lack of data and to increase the FDD accuracy.

TL;DR: In this paper, the authors analyze the emerging concept of Industry 4 0, impacts and applicability on SMEs, and, in particular, the readiness of SMEs in Kazakhstan to digitization and industry 4 0.

TL;DR: In this article, the authors analyzed four cutting conditions (dry, flood, liquid CO2 and liquid N2) based on energy consumption and ecological impacts for drilling VT-20, a Titanium alloy.

TL;DR: In this article, a model for recycling the waste generated from packaging industry has been proposed which provides recycling of the waste in multiple levels i.e. we can extract the same product from the waste by high grade recycling of can use them in secondary operations like as charcoal, construction material.

TL;DR: An Augmented Reality (AR) application that aims to facilitate the operator’s work in an industrial, human-robot collaboration environment with mobile robots, assisting the operators during the collaborative assembly tasks is presented.

TL;DR: The proposed framework is optimized to provide a human-centered approach on the assembly line and alleviate human operators from exhaustive or unsafe tasks, while accounting for environment changes, such as positioning of resources and parts.

TL;DR: In this article, the authors compared the environmental performance of five different types of face masks (i.e., 3D printed reusable mask with filter, surgical mask, filtering face-piece masks -FFPs with and without valve, washable masks), considering an average Italian use scenario and the whole mask lifecycle: materials, manufacturing processes, use, sanitization and disposal.

TL;DR: In this paper, the energy efficiency of EN 353 alloy steel has been investigated from the point of view of energy efficiency (ĖĖ) during its processing to finish parts.

TL;DR: This paper systematically identified and clustered research publications and patents for wiring harness manufacturing automation, and analyzed the automation concepts as well as underlying technologies to derive research gaps that require an in-depth investigation in the future to increase the degree of automation in the wired harness manufacturing.

TL;DR: A method of screw detection for disassembly is proposed and results of detection of crosshead screws on components of various models of LCD monitors in a disassembly cell are presented.

TL;DR: Aerosol Jet Jet Printing and Screen Printing are presented as two techniques for the realization of flexible and mass customized PE devices to realise conductive antennas on paper substrates for the development of “smart packaging”.

TL;DR: A reinforcement learning approach, in particular Q-Learning, is introduced to reduce the average lead-time of production orders in a job-shop production system to solve the problem of fluctuating customer demands and expected short delivery times.

TL;DR: In this paper, the authors present a toolbox for realizing a digital twin in domain-specific applications by enhancing the associated modelling and simulation practices, which is illustrated by implementing the digital twin of a battery system in a robotic minicar.

TL;DR: A concept is proposed to enable an improved identification and a more objective inspection by enhancing the working environment and processes of sorting stations by using Digitization and machine learning on business data.

TL;DR: The paper shows the feasibility of the methodology for the development of DTs, the necessary adaptions to common approaches for development and the specific characteristics of DT development for the aim of energy efficiency.

TL;DR: This study contributes to the literature by conducting experiments on real data to investigate the potential of using LSTM networks for final customer demand forecasting, and hence for increasing the overall value generated by a supply chain.

TL;DR: A physics-based approach considering the flexibility of robots’ links and gearboxes is presented to provide a framework for modelling flexible robotic structures’ towards increasing their accuracy.

TL;DR: This study summarizes a variety of features proposed by recent models in the literature, followed by expert analyses that assess how valuable they are to the success of implementations.

TL;DR: A framework in which I4.0 technologies support the adoption of Reduce, Redesign, Recycling and Remanufacturing strategies has been developed and works in closing the loop by acting as strategic node able to link different supply chains.

TL;DR: This article presents several cross-phase industrial transfer learning use cases utilizing intelligent Digital Twins, a real cyber physical production system consisting of an automated welding machine and an automated guided vehicle equipped with a robot arm to illustrate the respective benefits.

TL;DR: In this article, a teleoperation-based method for process design and control of industrial robots utilizing virtual reality is presented, which reduces the time and effort required for repurposing the robot operation without the physical presence of a robot operator at the shop floor.

TL;DR: The key challenges in battery module disassembly up to cell level are identified and classified in order to systematically derive the requirements for the disassembly system.