Manufacturing Network 4.0 : oppsummering – aktiviteter – publisering og formidling

Prosjektet Manufacturing Network 4.0 ble gjennomført i perioden juni 2015 – desember 2019. Deltakere i prosjektet var fire FoU-partnere og seks bedriftspartnere. Ca 20 forskere var tilknyttet prosjektet, men som notatet viser var det i alt over 150 personer som i større eller mindre grad har vært bidragsytere til prosjektet gjennom denne perioden. Prosjektet var finansiert av Norges forskningsråd (80 %) og deltakende industripartnere (20 %). Hensikten med dette notatet er å gi en kortfattet beskrivelse av prosjektet inklusive deltakere og aktiviteter, samt å gi en samlet oversikt over all publisering og formidling. Målgruppen er først og fremst alle som har deltatt i prosjektet, både fra fou-institusjonene og fra industrien. Språket i denne oppsummeringen er dels engelsk, dels norsk. Dette fordi tekstene er hentet fra litt ulike kilder. Vi regner med at det ikke skaper noe problem for den aktuelle målgruppen

Augmenting the Production Operators for Continuous Improvement

This paper discusses how continuous improvement activities can be supported by augmenting the operators in production. After a brief literature background, real life case examples from manufacturing companies are provided and discussed. Enabling technologies, specifically AR and embedded sensors, can guide the operators in execution of their tasks, quality verification of work done step by step, and data collection from both manual and automated operations in much higher levels of details. Collected data provides an empirical foundation for data-driven analysis and improvement potentials in production and quality operations. The paper contributes to theory and practice by providing research-based innovation experiences on this emerging topic of interest for manufacturing companies.acceptedVersio

A Systematic Literature Review of the Solar Photovoltaic Value Chain for a Circular Economy

As the solar photovoltaic market booms, so will the volume of photovoltaic (PV) systems entering the waste stream. The same is forecast for lithium-ion batteries from electric vehicles, which at the end of their automotive life can be given a second life by serving as stationary energy storage units for renewable energy sources, including solar PV. The main objective of this paper is to systematically review the “state-of-the-art” research on the solar PV value chain (i.e., from product design to product end-of-life), including its main stages, processes, and stakeholder relationships, in order to identify areas along the value chain where circular strategies could be implemented, thereby advancing the transition of the PV industry towards circularity. To achieve this goal, we conducted a systematic literature review of 148 peer-reviewed articles, published in English between 2000 and 2020. Results show the PV value chain has been studied from a forward flow supply chain perspective and mostly from a technological point of view, with little regard for circular design, circular business models, and PV reuse. This article thus takes an integrated value chain perspective, introduces some of the barriers to circularity that industry players face, and argues that these barriers represent future opportunities for incumbent and new entrants to innovate within a circular PV industry

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways