Unlocking innovation in the sport industry through additive manufacturing

Fast changing customer demands and rising requirements in product performance constantly challenge sports equipment manufacturers to come up with new and improved products to stay competitive. Additive Manufacturing (AM), also referred to as 3D Printing, can enhance the development of new products by providing an efficient approach of rapid prototyping. This research aims to analyse the current adoption of AM technologies in the innovation process of the sports industry i.e. level of awareness; how it is implemented; and it impact on the innovation process. Literature research shows that AM brings many possibilities to enhance the innovation process, and case studies indicated several obstacles that hinder the technology from fully unfolding. AM is still at the early stage of entering the sports equipment industry and its potential benefits have not been fully exploited yet. The findings generated from the research of real life practices show that AM provides several benefits when it comes to the innovation process, such as a faster development process, an optimised output, as well as the possibility to create new designs. However, companies are not yet able to enhance the innovation process in a way that leads to new products and new markets with AM. Limitations, including a small range of process able material and an inefficient mass production, still restrain the technology and lead to unused capability. Nevertheless, future prospects indicate the growing importance of AM in the innovation process and show that its advancement paves the way to new and innovative products

Industry 4.0: from theory to practice. An empirical analysis of the factory of the future

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Digital Machines, Space, And Time: Towards A Behavioral Perspective Of Flexible Manufacturing

Recently, the diffusion of digital machines has further enhanced firms’ manufacturing flexibility, but also opened questions on potential challenges and implications in the production process. To respond to these timely issues, we adopt a behavioral perspective and comparatively explore how four different types of digital machines—characterized by increasing degrees of manufacturing flexibility—affect the perception and use of space and time for routines within the production plant. We qualitatively observe and compare 45 digital manufacturing machines, sampled across 14 firms in the British and Italian motorsport industry. A model emerges where four key mechanisms reshape the ‘space-machine’ and ‘time-machine’ routines. Such mechanisms mediate the relationship between manufacturing flexibility and firm performance. Further, we show how increasing digitalization in the manufacturing process enhances the establishment of new routines as flexible machines get introduced in the production. Finally, we discuss the theoretical and practical implications related to fostering a behavioral perspective in innovation and operations management studies

Enabling Design of Middleware for Massive Scale IOT-based Systems

Recently, the Internet of Things (IoT) technology has rapidly advanced to the stage where it is feasible to discover, locate and identify various smart sensors and devices based on the context, situation, characteristics, and relevancy to query for their data or control actions. Taking things a step further when developing Large Scale Applications requires that two serious issues be overcome. The first issue is to find a solution for data sensing and collection from a massive number of various ubiquitous devices when converging these into the next generation networks. The second important issue is to deal with the “Big Data” that arrive from a very large number of sources. This research emphasizes the need for finding a solution for a large scale data aggregation and delivery. The paper introduces biomimetic design methods for data aggregation in the context of large scale IoT-based systems

FY2020 Maine Economic Improvement Fund Annual Report

Maine statute requires the University of Maine System to provide an annual report to the Governor and Legislature each year. In addition to listing the annual financial data, we also include an assessment of the achievement of the annual goals and objectives, and a summary of the research and development projects that have been funded. The annual report is included in the meeting materials for review and approval

Applications of AM

In this chapter, three strategic domains of Additive Manufacturing application are presented: tool making, medicine and transportation, with main benefits and results obtained by application of AM. Chapter presents some of on-going or already finished project from mentioned AM application fields

Urban Re-Industrialization

Urban re-industrialisation could be seen as a method of increasing business effectiveness in the context of a politically stimulated ‘green economy’; it could also be seen as a nostalgic mutation of a creative-class concept, focused on 3D printing, ‘boutique manufacturing’ and crafts. These two notions place urban re-industrialisation within the context of the current neoliberal economic regime and urban development based on property and land speculation. Could urban re-industrialisation be a more radical idea? Could urban re-industrialization be imagined as a progressive socio-political and economic project, aimed at creating an inclusive and democratic society based on cooperation and a symbiosis that goes way beyond the current model of a neoliberal city? In January 2012, against the backdrop of the 2008 financial crisis, Krzysztof Nawratek published a text in opposition to the fantasy of a ‘cappuccino city,’ arguing that the post-industrial city is a fiction, and that it should be replaced by ‘Industrial City 2.0.’ Industrial City 2.0 is an attempt to see a post-socialist and post-industrial city from another perspective, a kind of negative of the modernist industrial city. If, for logistical reasons and because of a concern for the health of residents, modernism tried to separate different functions from each other (mainly industry from residential areas), Industrial City 2.0 is based on the ideas of coexistence, proximity, and synergy. The essays collected here envision the possibilities (as well as the possible perils) of such a scheme

Revolutionising how we think about infrastructure

We need broad-scale revolutionary, rather than evolutionary, change if all seven billionpeople on the planet now, and those who follow us, are to have the opportunity to live well

Improving blue economy through industry 4.0: a service science perspective

Desenvolver a Economia Azul pela Indústria 4.0: Uma Perspetiva Service Science O objetivo desta dissertação é a avaliação do impacto das tecnologias digitais “Indústria 4.0” (I4.0), na competitividade da Economia Azul (BE) na União Europeia (EU). Nos Relatórios de 2018 e 2018 sobre Economia Azul a Comissão Europeia apresentou os desafios e o potencial da BE, propondo diretrizes para políticas e, identificou os facilitadores da competitividade nos diferentes sectores da BE no espaço Europeu. Da revisão sistemática da literatura efetuada, verificou-se que a Service Science (S-S), é uma área científica emergente e interdisciplinar que combina a organização dos sistemas, o conhecimento tecnológico com a Sustentabilidade do Planeta, permitindo suportar cientificamente novas abordagens à criação de valor. Ainda da revisão de literatura, foram identificadas diferentes tecnologias digitais, designadas por tecnologias Indústria 4.0. Orientada pelo paradigma pragmatista e utilizando uma metodologia mista de convergência paralela, nesta investigação foi conceptualizado um modelo empírico. Da aplicação deste modelo a onze casos-de-estudo da BE, conclui-se que o impacto na competitividade setorial da BE Europeia poderá ser de 26,5%. Conclui-se ainda, nesta investigação, que as tecnologias I4.0 poderão representar uma oportunidade as empresas da BE, sendo por isso mesmo, recomendável a sua adoção