Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0)

Engineering 4.0 environments are characterised by the digitisation, virtualisation, and connectivity of products, processes, and facilities composed of reconfigurable and adaptive socio-technical cyber-physical manufacturing systems (SCMS), in which Operator 4.0 works in real time in VUCA (volatile, uncertain, complex and ambiguous) contexts and markets. This situation gives rise to the interest in developing a framework for the conception of SCMS that allows the integration of the human factor, management, training, and development of the competencies of Operator 4.0 as fundamental aspects of the aforementioned system. The present paper is focused on answering how to conceive the adaptive manufacturing systems of Industry 4.0 through the operation, growth, and development of human talent in VUCA contexts. With this objective, exploratory research is carried, out whose contribution is specified in a framework called Design for the Human Factor in Industry 4.0 (DfHFinI4.0). From among the conceptual frameworks employed therein, the connectivist paradigm, Ashby's law of requisite variety and Vigotsky's activity theory are taken into consideration, in order to enable the affective-cognitive and timeless integration of the human factor within the SCMS. DfHFinI4.0 can be integrated into the life cycle engineering of the enterprise reference architectures, thereby obtaining manufacturing systems for Industry 4.0 focused on the human factor. The suggested framework is illustrated as a case study for the Purdue Enterprise Reference Architecture (PERA) methodology, which transforms it into PERA 4.0

The Future of Enterprise Information Systems

[First paragraph] Enterprise information systems (EIS) have been important enablers of crossfunctional processes within businesses since the 1990s. Often referred to as enterprise resource planning (ERP) systems, they were extended in line with electronic businesses to integrate with suppliers as well as customers. Today, EIS architectures comprise not only ERP, supply chain, and customer relationship management systems, but also business intelligence and analytics. Recently, the move towards decentralized technologies has created new perspectives for EIS. Information systems (IS) research has already addressed opportunities and challenges of these developments quite well, but what will be the pressing opportunities and challenges for supporting enterprises with IS in the coming years? The remainder of this discussion focuses on the future of EIS from diverse but complementary perspectives

Implementing Industry 4.0 in SMEs

This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book ‘Industry 4.0 for SMEs: Challenges, Opportunities and Requirements’, the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples

A new approach to identifying high-tech manufacturing SMEs with sustainable technological development : Empirical evidence

Industry 4.0 has already become part of the world's largest manufacturers and is beginning to influencing small and medium-sized enterprises (SMEs) through the supply chain. High-tech industries, such as pharmaceuticals, electronic equipment, aircraft manufacturing, etc., will be the first to face technological transformation. To this end, it becomes relevant to assess the sustainability of the technological development of SMEs as a factor of their successful digital transformation. This paper fills a gap in the study of such development as it pertains to Russian high-tech SMEs. Based on a critical literature review, we propose a new approach to assessing the sustainable technological development of these industries. The approach is distinguished by the use of a set of five indicators highlighted during the literature review, which can be quantified based on financial statements. The choice of variables is justified by their compliance with the specifics of industrial SMEs and KMO and Bartlett tests. We empirically tested the selected indicators using a sample of 7980 enterprises in two high-tech industries: Electrical and Electronic Equipment (EEE). We concluded that the larger the business, the higher the sustainability of its technological development. At the same time, SMEs have two key advantages in the implementation of technological development – a decrease in resource costs of production, flexibility in asset management and gross profit. The proposed approach allows us to identify promising high-tech SMEs for the transition to Industry 4.0 technologies. Our research will be useful both for private enterprises when searching for technologically promising contractors and for public authorities when analyzing and selecting enterprises for pilot digital transformation.© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

An investigation upon Industry 4.0 implementation: the case of small and medium enterprises and Lean organizations

In recent years, industries have undergone several shifts in their operating and management systems. Alongside to the technological innovation, rapid market changes and high competitiveness; growing customer needs are driving industries to focus on producing highly customized products with even less time to market. In this context, Industry 4.0 is a manufacturing paradigm that promises to have a great impact not only on improving productivity but also on developing new products, services and business models. However, the literature review has shown that research on Industry 4.0 implementation is still characterized by some weaknesses and gaps (e.g., topics such as the implementation of Industry 4.0 in SMEs and its integration with Lean Management approach). Motivated by so, this thesis sought to answer four key questions: (RQ1) What are the challenges and opportunities for SMEs in the Industry 4.0 field? (RQ2) What are the resources and capabilities for Industry 4.0 implementation in SMEs? (RQ3) How can these resources and capabilities be acquired and/or developed and (RQ4) How to integrate Industry 4.0 and Lean Management? To deal with the first research question, a semi-systematic literature review in the Industry 4.0 field was conducted. The main goal is to explore the implementation of Industry 4.0 in SMEs in order to identify common challenges and opportunities for SMEs in the Industry 4.0 era. To face with the second and third research questions, a multiple case study research was conducted to pursue two main aims: (1) to identify the resources and capabilities required to implement Industry 4.0 in Portuguese SMEs. Furthermore, based on mainstream theories such as resource-based view (RBV) and dynamic capability theory, it sought empirical evidence on how SMEs use resources and capabilities to gain sustainable competitive advantage; (2) to shed light on how those SMEs acquire and/or develop the Industry 4.0 resources and capabilities. Finally, this thesis employed a semi-systematic literature review methodology to deal with the fourth research question. As such, it explored the synergistic relationship between Industry 4.0 and Lean Management to identify the main trends in this field of research and, ultimately, the best practices. The analysis and discussion of the best practices revealed a set of potential relationships which provided a more clear understanding of the outcomes of an Industry 4.0-LM integration.Nos últimos anos, as indústrias têm passado por várias mudanças tanto nos seus sistemas operacionais, como de gestão. Juntamente com a inovação tecnológica e alta competitividade; as mudanças nas necessidades dos clientes levaram as indústrias a se concentrarem na produção de produtos altamente personalizados e com tempo de lançamento no mercado cade vez menores. Nesse contexto, a Indústria 4.0 é um paradigma de manufatura que promete ter um grande impacto não só na melhoria da produtividade, mas também no desenvolvimento de novos produtos, serviços e modelos de negócios. No entanto, a revisão da literatura mostrou que a investigação sobre a implementação da Indústria 4.0 ainda é caracterizada por algumas lacunas (por exemplo em tópicos como a implementação da Indústria 4.0 em pequenas e médias empresas (PMEs) e sua integração com a filosofia de gestão Lean Management). Diante disso, esta tese procura responder à quatro questões-chave: (RQ1) Quais são os desafios e oportunidades para as PMEs no campo da Indústria 4.0? (RQ2) Quais são os recursos e capacidades necessários para a implementação da Indústria 4.0 nas PMEs? (RQ3) Como esses recursos e capacidades podem ser adquiridos e/ou desenvolvidos e (RQ4) Como integrar os paradigmas de manufatura, Indústria 4.0 e Lean Management? Para responder à primeira questão de investigação, este trabalho empregou uma revisão semi-sistemática da literatura. O objetivo principal foi explorar a implementação da Indústria 4.0 nas PMEs, a fim de identificar quais são os desafios e oportunidades para as PMEs na era da Indústria 4.0. Para fazer face à segunda e terceira questões de investigação, foi realizado um estudo de caso em 5 PMEs localizadas em Portugal a fim de atingir os seguintes objetivos: (1) identificar os recursos e capacidades necessários para implementar a Indústria 4.0 nas PME portuguesas; (2) esclarecer como essas PMEs adquirem e/ou desenvolvem esses recursos e capacidades. Além disso, com base nas teorias resourcebased view (RBV) e dynamic capabilities, buscar evidências empíricas sobre como as PMEs usam recursos e capacidades para obter vantagem competitiva sustentável. Finalmente, para lidar com a quarta questão de investigação, este estudo explorou a relação sinérgica entre a Indústria 4.0 e a filosofia de gestão Lean Management (LM) para identificar as principais tendências neste campo de investigação e promover as melhores práticas. A análise e discussão das melhores práticas revelaram um conjunto de potenciais relações, o que contribuiu para um entendimento mais claro sobre a integração da Indústria 4.0 com LM

Technologies for the next generation of production systems

The development and implementation of the last technological progresses is driving an evolution in different areas, making many of our daily tasks easier. In the production field the progress of new technological systems such as Cyber-­Physical Systems or Internet of Things is helping to create the so-called ‘factories of the future’, also known as Smart Factories. Some governmental initiatives developed in several countries are encouraging the implementation of these technologies in industry. This paper describes the main characteristics of Cyber-Physical Systems, Internet of Things and Smart Factories, as well as clears up the relation established between these concepts. It also explains the main objectives of the Industry 4.0 initiative, developed by the German government; and takes also an in-­ depth look at the Advanced Manufacturing Partnership (AMP) initiative, promoted by the U.E government to bring the country back to a leadership position in manufacturing activities.Outgoin

Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL 2021)

Proceedings of the CPSL 202

Innovation systems and regional governance for the development of low carbon building technologies in Wales: a ‘functions approach’

Having arguably led the world in the transition to a high carbon economy, much of Wales today is economically and socially deprived. Even so, a devolved Welsh Government has set ambitious targets to reduce carbon emissions in the devolved areas, while creating employment and economic opportunities, reducing fuel poverty, thereby helping to solve Wales’ entrenched social and economic problems. A low carbon transition in the built environment is critical to achieve such targets. This PhD study aims to provide theoretically informed and empirically grounded insights into the development of low carbon building technologies in Wales through examining how the functions of the innovation systems of two selected emerging technologies i.e. ‘Welsh grown timber for construction’ (WTC) and ‘building integrated solar energy systems’ (BISE) have been fulfilled. Having first established a bespoke analytical framework, the functional patterns of the two technological innovation systems (TIS) are documented, assessed and compared. The study further explores how the functional analyses may offer a bottom-up perspective on the policy implications for regional governance in Wales, which might alter the functional patterns, and improve the innovation capability of relevant Welsh organisations. The functional analyses of the WTC and BISE TIS shows that, although both TISs have reached their formative phases in Wales, there is no guarantee that either system will eventually move onto the phase of market diffusion, due to the inherent system weaknesses and uncertainties likely arising in technology, policy-making, and market. Whereas regional governance in Wales can introduce policy interventions, they matter only when breakouts from certain forms of institutional ‘path-dependence’ are induced. In this respect, the thesis concludes by discussing four streams of policy-thinking that may instigate different pathways in Wales, namely: technology foresight; the regulation-induced innovation hypothesis; demand-oriented policy measures; and, support for small business innovations through, e.g. R&D consortia