Showing papers in "Computers in Industry in 2020"

TL;DR: A review of more than hundred papers on new technologies and the new available supply chains methods are analysed and contrasted to understand the future paths of the Agri-Food domain.

TL;DR: Flexibility, cost, efficiency, quality and competitive advantage are found to be the key benefits to Industry 4.0 adoption in SMEs.

TL;DR: This paper focuses on the review of DT applications for maintenance, as no previous work has been found with this aim, and both “Digital Twin” and “maintenance” concepts and strategies are described in detail.

TL;DR: A structured literature review is presented that identifies a number of contemporary, RPA-related themes and challenges for future research.

TL;DR: It is suggested that future research can facilitate the widespread deployment of blockchain applications to address critical issues related to medical diagnostics, legal compliance, avoiding fraud, and improving patient care in cases of remote monitoring or emergencies.

TL;DR: It is pointed out that predictive maintenance is a hot topic in the context of Industry 4.0 but with several challenges to be better investigated in the area of machine learning and the application of reasoning.

TL;DR: The findings of the study reveal that managerial and economical, and environmental enablers possess a strong contribution toward sustainability adoption in manufacturing organisations of developing nations using Industry 4.0 technologies.

TL;DR: An ensemble framework based on convolutional bi-directional long short-term memory with multiple time windows (MTW CNN-BLSTM Ensemble) for accurately predicting RUL and can achieve the minimum prediction error and provide stable support for equipment health management is proposed.

TL;DR: This study proposes a structured classification of critical industrial assets within Industry 4.0 and potential adverse impacts on business performance due to breaches of cybersecurity and suggests how critical assets and business impacts are correlated and how business impacts can be assessed.

TL;DR: The first step in developing a system architecture of blockchain-enabled circular supply chain management in the fast-fashion industry is taken and managerial implications are discussed for implementing blockchain technology to advance the circular economy agenda.

TL;DR: A systematic literature review aimed to investigate how maintenance tasks and maintenance management strategies are changing in Industry 4.0 context, analyzing the state-of-the-art of Industry 5.0 technologies currently employed in maintenance and the resulting potential innovations in maintenance policies and manufacturing management.

TL;DR: A measure for quantifying the readiness of employees belonging to a big firm with respect to the Industry 4.0 paradigm which demonstrates to be fast, adaptable and reusable of enterprises’ human capital.

TL;DR: Twenty experiments were conducted with in-kind support (employee time and company access) from Beckhoff Automation, Herman Miller and fluiconnecto as well as University of Cambridge students.

TL;DR: By analyzing the concept of Smart PSS, this paper questions the convergence between digital and service orientations and considers how digital technologies are used to enable decisions along the PSS lifecycle and/or at different planning levels.

TL;DR: This research consists in developing a hybrid control solution that uses Big Data techniques and machine learning algorithms to process in real time information streams in large scale manufacturing systems, focusing on energy consumptions that are aggregated at various layers.

TL;DR: This paper is exploring and understanding how design can contribute towards a CE transition through the adoption of DfX approaches and how these approaches need to better fit with a circular design perspective.

TL;DR: Focusing on fill level monitoring, this work designs and implements a decision support system for silo dispatch and replenishment activity that identifies diverse opportunities for generating informational, automational and transformational business value.

TL;DR: A critical survey of BIM-based MiCRM is conducted and recommendations about research gaps and future research directions are offered to contribute to a solid understanding and deliver a useful reference for its future practice and improvement within the industry.

TL;DR: This paper proposes a function-based patent knowledge retrieval tool that can assist designers to generate more ideas and the novelty of ideas is higher and is purposefully recommended to trigger designers’ creativity.

TL;DR: The research reported in this paper concerns the development and deployment of an Augmented Repair Training Application (ARTA); a template-based interface to support end user (shop floor) AR content creation.

TL;DR: The proximal policy optimization algorithm is applied to the intractable joint replenishment problem and it is demonstrated how the algorithm approaches the optimal policy structure and outperforms two other heuristics.

TL;DR: The observed trends show that formal models and ontologies will play an even more essential role in I4.0 systems as interoperability becomes more of a focus and that the new generation of linkable data sources should be based on semantically enriched information.

TL;DR: A Systematic Literature Review is performed aiming at gathering papers including definitions of Smart Systems, regardless of the application domain and a diagrammatic view of the elements of a Smart System and their relationships through a meta-model is provided.

TL;DR: The proposed pre-trained SqueezeNet model with small model size and low computation complexity can help to conduct the laser welding quality inspection tasks that are usually performed by humans.

TL;DR: The recognition, calculation and guidance control are the basic stages of visual positioning for SWP (start welding point) and the selection of control method is determined by weld path detection and seam tracking algorithm.

TL;DR: A systematic bibliometric overview of current works with respect to neutrosophic fusion of RST is conducted and different challenging issues related to the main topics are listed, which are beneficial to future studies of NSs and logic.

TL;DR: The study found that AR technological development has especially increased in the last decade, and evidenced a remarkable steady of 82 % annual growth rate of the number of granted patents after 2012.

TL;DR: This paper proposes a Blockchain-based energy framework as a mean to support energy exchanges in a community of prosumers and demonstrates how smart contracts can manage energy transactions and enable a more secured trading environment between consumers and producers.

TL;DR: A cloud-based infrastructure, namely Automotive predicTOr Maintenance In Cloud (ATOMIC), is proposed for prognostic analysis that leverages Big Data technologies and mathematical models of both nominal and faulty behaviour of the automotive components to estimate on-line the End-Of-Life (EOL) and Remaining Useful Life (EUL) indicators for the automotive systems under investigation.

TL;DR: The subject of this contribution is a concept that takes up the brownfield character and describes a solution for extending existing (legacy) systems with CPS capabilities.