Showing papers in "Procedia Manufacturing in 2017"

TL;DR: The paper aims at analyzing the definitions of the DT concept in scientific literature, retracing it from the initial conceptualization in the aerospace field, to the most recent interpretations in the manufacturing domain and more specifically in Industry 4.0 and smart manufacturing research.

TL;DR: In this paper, a literature review is made to understand the Industry 4.0 concept in its technological dimension, and to comprehend its impacts, which has consequences on industry, markets and economy, improving production processes and increasing productivity.

TL;DR: In this paper, a comprehensive review on additive manufacturing technologies is presented together with both its contributions to Industry 4.0, focusing on three important aspects of AM: recent advances on material science, process development, and enhancements on design consideration.

TL;DR: In this article, the authors present some reflections regarding the adequate requirements and issues enabling organizations to be efficient, and fully operational in Logistics 4.0 context, where the emergence of the Industry Internet of Things (IIoT) promoted new challenges in logistic domain, which might require technological changes such as: high need for transparency (supply chain visibility); integrity control (right products, at right time, place, quantity condition and at the right cost).

TL;DR: In this paper, the authors deal with identification of job roles in the companies and identify the main reasons for high financial costs and the lack of qualified employees for the transition to Industry 4.0.

TL;DR: In this paper, the authors analyze the impact of Industry 4.0 on the supply chain as a whole and propose a cyber-physical system that allows the smart factory to operate autonomously.

TL;DR: A learning factory based concept to demonstrate the potentials and advantages of real time data acquisition and subsequent simulation based data processing and an existing learning factory will be upgraded regarding both, multi-modal data acquisition technologies as well as a locally independent optimization environment.

TL;DR: In this article, a tensile test per ASTM D638 standards is used to obtain the mechanical properties of each fabricated sample and a Finite Element Analysis (FEA) model for AM parts is provided to simulate their behavior under mechanical loads.

TL;DR: A review on advances and trends of aluminium matrix composites for industrial uses is presented in this article, where the automotive industry is subjected to increasingly restrict fuel economy requirements by consumers, demanding improved comfort and safety.

TL;DR: In this article, a sensor data integration and information fusion is used to build "digital-twins" virtual machine tools for cyber-physical manufacturing, which can better reflect the actual status of its physical counterpart in its various applications.

TL;DR: In this paper, the authors describe the transformation process of a training-addressed manufacturing workshop, in order to structure a Learning Factory for the production engineering program at EAFIT University, and argue that a proper transformation process may contribute to ease the path towards new manufacturing trends such as industry 4.0 into an academic context that strengths the engineering training process.

TL;DR: In this paper, a questionnaire was developed to investigate which skills and expertise young engineers require to be ready for Industry 4.0, and the collected answers provided a picture of the actual situation in these three universities with some relevant considerations about engineering education.

TL;DR: The aim of this paper is to conduct research on Industry 4.0 related to key aspects and presentation of a design of framework to implement risk management for the Industry 5.0 concept.

TL;DR: A solution for remote maintenance based on off-the-shelf mobile and AR technologies that allows to remotely connect a skilled operator in a control room with an unskilled one located where the maintenance task has to be performed.

TL;DR: In this article, the authors reviewed some major EU industrial guidelines, roadmaps, and scientific literature that led to the depiction of the term Industry 4.0, and explored how key technologies and concepts have been addressed over time.

TL;DR: In this paper, a detailed analysis of interdependencies between Lean Production Systems (LPS) and Industrie 4.0 elements have been structured into technologies, systems and process related characteristics.

TL;DR: In this paper, a model for initialising digital transformation in enterprises is presented, which is based on a continuous improvement cycle and also includes triggers for innovative and digital thinking within the enterprise.

TL;DR: In this article, the authors investigated the dynamics of the next industrial revolution (Industrie 4.0) and used case studies on the market, suppliers and customers as benchmark to identify current trends.

TL;DR: Essential to the digital twin is the ability to consistently provide all subsystems with the latest state of all required information, methods and algorithms.

TL;DR: In this paper, the authors present a review of the Industry 4.0 infrastructure and argue that beyond the potential cost and efficiency gains from implementation, adoption is argued from the perspective of leveraging internal capabilities to devolve Industry4.0 as the driver for creating competitive advantage.

TL;DR: The Cambridge Business Model Innovation Process (CBMIP) as mentioned in this paper is a framework developed to guide organizations' business model innovation efforts and map the necessary activities and potential challenges, and it has been applied to a social start-up.

TL;DR: Reflections regarding the challenges of Industry 4.0 emphasizing the security issues are highlighted, towards raising awareness for security good practices within Industry 2.0 and 3.0.

TL;DR: The Institute of Innovation and Industrial Management operates a learning factory (LeanLab) since 2014 to enhance academic education, company trainings and hands-on research in the fields of industrial engineering and logistics as mentioned in this paper.

TL;DR: In this paper, the effectiveness and user's acceptance of a passive exoskeleton for upper limbs were investigated, and three different tests, involving static and dynamic tasks, were performed by 29 automotive operators without and with the ex-oskeleton.

TL;DR: In this article, the authors proposed an approach to determine task allocation by considering the actual capabilities of both human and robot in order to improve work quality and to identify the maximum congruence as the basis for the allocation decision.

TL;DR: A literature review is made to provide knowledge about smart products development (SPD) approaches, with the emergence of advanced digital tools for product development and prototyping that comprise advanced computing platforms, such as virtual and augmented reality.

TL;DR: In this article, the authors present a state-of-the-art review of Industry 4.0 based on recent developments in research and practice within PDP domain, considering relationship, attributing values, and some other characteristics between them.

TL;DR: Smart biopolymers are gaining particular attention in view of their biodegradability, biocompatibility, renewability and inexpensiveness, and special emphasis is given on the applications in the field of drug delivery and tissue engineering.

TL;DR: In this article, high density polyethylene waste is mixed with Portland cement to investigate the possibility to produce plastic cement, and study the effect of replacing sand by fine polyethylen waste with different percentage on the properties of product.

TL;DR: In this paper, the authors investigate the use of Hot Isostatic Pressing (HIP) as a post-process heat treatment of sintered parts to evaluate its effect on density, porosity, and shrinkage of parts printed in Binder Jetting.