The development of information and communication technologies (ICT) has led to many innovative technologies. The integration of technologies such as the internet of things (IoT), cloud computing, and machine learning concepts have given rise to Industry 4.0. Fog and edge computing have stepped in to fill the areas where cloud computing is inadequate to ensure these systems work quickly and efficiently. The number of connected devices has brought about cybersecurity issues. This study reviewed the current literature regarding edge/fog-based cybersecurity in IoT to display the current state.
Vanuit het internationale Lean 4.0 onderzoek bieden we in juni 3 webinars aan, rond de onderwerpen Lean, Lean leren en Lean en Industrie 4.0. We delen hier de eerste inzichten van ons onderzoek en praktijkvoorbeelden. Aan deelname zijn geen kosten verbonden. In June we will be hosting a series of 3 webinars. During these webinars we will share the first insights of our international Lean 4.0 research. Register now and join us (free) for one of the following online masterclasses. Lean 4.0 is a collaborative initiative between four leading Higher Education institutions and four industry partners with the objective to integrate Industry 4.0 smart technologies with the proven Lean Manufacturing paradigm. Lean 4.0 will educate the operations managers of the future in the best practices in the field of Lean & Industry 4.0. A main output is an open knowledge sharing platform to organize Blended Network Action Learning in practice and digital teaching content for the new and growing “Lean 4.0” community. Deelnemers: ca. 26 Lean 4.0 can be seen as a marriage between Lean and Industry 4.0 technologies. But how good is this marriage? How is the evolution of Lean and Industry 4.0 within manufacturing companies? What are the struggles, what are the successes? In this masterclass, prof. Jannes Slomp will show the development of a taxonomy which supports managers to recognize the Lean 4.0 situation within their company and to identify their strategic challenges.
This workshop offers the opportunity to play and experience the Industry 4.0 boardgame under expert supervision by one of the developers of the game. The game's main goals are to improve participants understanding of Industry 4.0 design principles. This workshop offers the opportunity to play and experience the Industry 4.0 boardgame under expert supervision by one of the developers of the game. The workshop is a hands-on activity in which participants are placed in teams and then challenged to transition their companies towards the Industry 4.0 paradigm. By the end of the workshop participants will understand: What are the most important principles, technologies, skills and areas related to Industry 4.0; What are the main relationships among these aspects and; That achieving Industry 4.0 requires a transition process, not an off-the-shelf product. About the Industry 4.0 Board Game The Industry 4.0 Board Game was developed to support companies, universities and research institutes to support introduction of I4.0 concepts in their organizations. It was developed in the Brazilian-German Collaborative Research Initiative on Smart Connected Manufacturing program (2017-2021). Over the past years, the game was hosted in professional training and educational settings in Brazil, Germany and The Nertherlands, with over 300 participants and 20 applications. The games has been hosted in universities and research institutes such as TU Berlin and Fraunhofer IPK in Germany and Twente University in The Netherlands. Many companies have taken part in the game, including AB Inbev, Nestlé, Saint-Gobain, Messer, Beiersdorf/Nivea, Volkswagen, among others. The gaming material is freely available under creative commons license. Currently HAN Lean QRM Centrum is investigating whether translation of the gaming material in Dutch is an option. More information on the research is available via Researchgate.
The production of denim makes a significant contribution to the environmental impact of the textile industry. The use of mechanically recycled fibers is proven to lower this environmental impact. MUD jeans produce denim using a mixture of virgin and mechanically recycled fibers and has the goal to produce denim with 100% post-consumer textile by 2020. However, denim fabric with 100% mechanically recycled fibers has insufficient mechanical properties. The goal of this project is to investigate the possibilities to increase the content of recycled post-consumer textile fibers in denim products using innovative recycling process technologies.
The denim industry faces many complex sustainability challenges and has been especially criticized for its polluting and hazardous production practices. Reducing resource use of water, chemicals and energy and changing denim production practices calls for collaboration between various stakeholders, including competing denim brands. There is great benefit in combining denim brands’ resources and knowledge so that commonly defined standards and benchmarks are developed and realized on a scale that matters. Collaboration however, and especially between competitors, is highly complex and prone to fail. This project brings leading denim brands together to collectively take initial steps towards improving the ecological sustainability impact of denim production, particularly by establishing measurements, benchmarks and standards for resource use (e.g. chemicals, water, energy) and creating best practices for effective collaboration. The central research question of our project is: How do denim brands effectively collaborate together to create common, industry standards on resource use and benchmarks for improved ecological sustainability in denim production? To answer this question, we will use a mixed-method, action research approach. The project’s research setting is the Amsterdam Metropolitan Area (MRA), which has a strong denim cluster and is home to many international denim brands and start-ups.
Augmented Reality (AR) technologie is een vorm van mens-computer interactie waar de natuurlijke visuele waarneming van de mens wordt aangevuld met computer-gegenereerde informatie, zoals virtuele 3D modellen, aanwijzingen en teksten. Binnen het MKB in de maakindustrie is er grote interesse voor AR. Diverse maakbedrijven zijn geïnteresseerd in de mogelijkheden om met AR hun medewerkers te ondersteunen en/of te trainen en daarmee hun assemblageprocessen efficiënter uit te voeren, met een hogere kwaliteit en op een veilige manier. In dit project willen we het MKB ondersteunen met onderzoek naar mogelijkheden om AR in te zetten in assemblageprocessen. De technische mogelijkheden van AR ontwikkelen zich snel. Er zijn echter de nodige vragen bij de managers van MKB bedrijven: wat zijn huidige en toekomstige mogelijkheden van AR in de assemblage van producten? Wat betekent dit voor de inrichting en organisatie van de assemblage? Hoe ervaren werknemers ondersteuning met AR? In dit RAAK project zal met vijf inhoudelijke werkpakketten antwoord gegeven worden op deze vragen. Resultaten van het project zijn: (i) een aanpak voor het identificeren van kansen van AR in huidige assemblagesituaties, (ii) een aanpak voor het specificeren van een werkplek (of takenpakket) en de benodigde AR-ondersteuning, (iii) ontwerpprincipes (interface-richtlijnen) voor de ontwikkeling van AR-ondersteuning van medewerkers, (iv) een aantal demonstrators (3 of meer) die het ontwikkelen en gebruik van AR in de assemblage illustreren en (v) een (strategische) Roadmapping Methodologie voor het ontwikkelen van AR ondersteunde assemblage binnen een bedrijf. Hiermee wordt duidelijk hoe keuzes in de markt, de inrichting, de besturing en de organisatie van een bedrijf samenhangen met de keuze voor AR-technologie in de assemblage. De resultaten van het project zullen gebruikt worden door de bedrijfspartners in het project en breder uitgezet worden via de netwerken van de verschillende partners in het project. Resultaten zullen ook worden gebruikt in HBO-onderwijs en onderzoek. Het project sluit aan bij diverse initiatieven op het gebied van Smart Industry.
