This is an open access book. It gathers the first volume of the proceedings of the 31st edition of the International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2022, held ...on June 19 – 23, 2022, in Detroit, Michigan, USA. Covering four thematic areas including Manufacturing Processes, Machine Tools, Manufacturing Systems, and Enabling Technologies, it reports on advanced manufacturing processes, and innovative materials for 3D printing, applications of machine learning, artificial intelligence and mixed reality in various production sectors, as well as important issues in human-robot collaboration, including methods for improving safety. Contributions also cover strategies to improve quality control, supply chain management and training in the manufacturing industry, and methods supporting circular supply chain and sustainable manufacturing. All in all, this book provides academicians, engineers and professionals with extensive information on both scientific and industrial advances in the converging fields of manufacturing, production, and automation.
The purpose of this article is to collect and structure the various characteristics, technologies and enabling factors available in the current body of knowledge that are associated with smart ...manufacturing. Eventually, it is expected that this selection of characteristics, technologies and enabling factors will help compare and distinguish other initiatives such as Industry 4.0, cyber-physical production systems, smart factory, intelligent manufacturing and advanced manufacturing, which are frequently used synonymously with smart manufacturing. The result of this article is a comprehensive list of such characteristics, technologies and enabling factors that are regularly associated with smart manufacturing. This article also considers principles of “semantic similarity” to establish the basis for a future smart manufacturing ontology, since it was found that many of the listed items show varying overlaps; therefore, certain characteristics and technologies are merged and/or clustered. This results in a set of five defining characteristics, 11 technologies and three enabling factors that are considered relevant for the smart manufacturing scope. This article then evaluates the derived structure by matching the characteristics and technology clusters of smart manufacturing with the design principles of Industry 4.0 and cyber-physical systems. The authors aim to provide a solid basis to start a broad and interdisciplinary discussion within the research and industrial community about the defining characteristics, technologies and enabling factors of smart manufacturing.
Industry 4.0 (I4.0) encompasses a plethora of digital technologies effecting on manufacturing enterprises. Most research on this topic examines the effects in the smart factory domain, focusing on ...production scheduling. However, there is still a lack of comprehensive research on the applications of I4.0 enabling technologies in manufacturing life-cycle processes. This paper is thus intended to provide a systematic literature review answering the following research question: What are the applications of I4.0 enabling technologies in the business processes of manufacturing companies? The study analyses 186 articles and the results show that production scheduling and control is the process most often investigated, while there is also an increasing trend in servitization and circular supply chain management. Moreover, there is extensive combined use of IoT, Big Data Analytics and Cloud, whose applications cover a wide range of processes. On the contrary, other technology like Blockchain is not as widely discussed in the domain of I4.0. This picture calls for a future research agenda extending the scope of investigation into I4.0 in manufacturing. Furthermore, the results of this research can prove extremely useful for practitioners who wish to implement one or more technologies, providing them with solutions for applications in manufacturing.
Under the call for the construction of ecological civilization in the new era, the attention of the whole society to green finance has gradually increased. Among them, green bonds, as the largest and ...most mature green financial products in China’s green finance market, have an increasing impact on social benefits and economic development. Taking the manufacturing industry as an example, this paper studied the stock price effect of 21 listed companies when they first announced green bond issuances through the event study method. The findings showed that publicly issued green bonds by listed manufacturers would make a significant positive impact on corporate share prices during the window period. This result showed that the issuance of green bonds would attract more equity investment, which was conducive to encouraging listed manufacturing companies to carry out green finance reform through the issuance of green bonds and contributed to the sustainable evolution of China’s economy.
Digital technology has changed the original product form, the way of new product production process, business model and organizational form, and even overturned the basic assumptions of many ...innovation theories. Embedding digital innovation ecosystem makes it possible for small and medium-sized manufacturing enterprises to create value from the production side in the industrial era to the demand side in the digital economy era. Through a typical vertical case analysis, this paper reveals the internal mechanism and process of digital innovation ecosystem enpowers the innovation of small and medium-sized manufacturing enterprises. The research results show that the embedding of digital innovation ecosystem has a significant positive impact on the innovation performance of small and medium-sized manufacturing enterprises, and value co-creation plays an intermediary role between digital innovation ecosystem and the innovation performance of small and medium-sized manufacturing enterprises. This paper puts forward the innovation theoretical framework of small and medium-sized manufacturing enterprises from the perspective of digital innovation ecosystem.
O setor de fabricação de pneus emprega no Brasil 28,8 mil diretos e aproximadamente 819,3 mil indiretos. O principal canal de vendas da indústria de pneus é o mercado de reposição e a rede de ...revendedores, que representam 60% das vendas totais do setor, as montadoras respondem por 24% e os 16% restante ficam com as exportações. A prática de dumping é um perigo constante para o mercado nacional e os processos de fabricação locais precisam ser otimizados para aumentar a competitividade. Para sobreviver a este mercado competitivo a maioria das empresas atuais adota uma estratégia Lean (estratégia encuta), que resumidamente significa dar ao cliente exatamente o que ele quer, na quantidade que ele precisa e no tempo que ele desejar, com o mínimo de desperdício possível. O SMED (Single Minute Exchange Die) é uma ferramenta projetada para reduzir o tempo entre as trocas dos processos de fabricação. Neste estudo, foi avaliado a implementação do SMED em um equipamento de extrusão de borracha (Duplex) que exigiu uma redução de tempo de setup para alavancar a capacidade produtiva de uma fábrica de pneus de motocicletas e de bicicletas, qu teve como objetivo principal reduzir o tempo de troca entre uma banda de rodagem de motocicleta e outra, melhorando a performance e reduzindo os despercíos do equipamento.
Smart manufacturing Kusiak, Andrew
International journal of production research,
01/2018, Letnik:
56, Številka:
1-2
Journal Article
Recenzirano
Odprti dostop
Manufacturing has evolved and become more automated, computerised and complex. In this paper, the origin, current status and the future developments in manufacturing are disused. Smart manufacturing ...is an emerging form of production integrating manufacturing assets of today and tomorrow with sensors, computing platforms, communication technology, control, simulation, data intensive modelling and predictive engineering. It utilises the concepts of cyber-physical systems spearheaded by the internet of things, cloud computing, service-oriented computing, artificial intelligence and data science. Once implemented, these concepts and technologies would make smart manufacturing the hallmark of the next industrial revolution. The essence of smart manufacturing is captured in six pillars, manufacturing technology and processes, materials, data, predictive engineering, sustainability and resource sharing and networking. Material handling and supply chains have been an integral part of manufacturing. The anticipated developments in material handling and transportation and their integration with manufacturing driven by sustainability, shared services and service quality and are outlined. The future trends in smart manufacturing are captured in ten conjectures ranging from manufacturing digitisation and material-product-process phenomenon to enterprise dichotomy and standardisation.
This paper aims to investigate the impact of enterprise architecture (EA) on system capabilities in dealing with changes and uncertainties in globalised business environments. Enterprise information ...systems are viewed as information systems to acquire, process, and utilise data in decision-making supports at all levels and domains of businesses, and Internet of things (IoT), big data analytics (BDA), and digital manufacturing (DM) are introduced as representative enabling technologies for data collection, processing, and utilisation in manufacturing applications. The historical development of manufacturing technologies is examined to understand the evolution of system paradigms. The Shannon entropy is adopted to measure the complexity of systems and illustrate the roles of EAs in managing system complexity and achieving system stability in the long term. It is our argument that existing EAs sacrifice system flexibility, resilience, and adaptability for the reduction of system complexity; note that higher adaptability is critical to make a manufacturing system successfully. New EA is proposed to maximise system capabilities for higher flexibility, resilience, and adaptability. The potentials of the proposed EA to modern manufacturing are explored to identify critical research topics with illustrative examples from an application perspective.
Industry 4.0 has been considered a new industrial stage in which several emerging technologies are converging to provide digital solutions. However, there is a lack of understanding of how companies ...implement these technologies. Thus, we aim to understand the adoption patterns of Industry 4.0 technologies in manufacturing firms. We propose a conceptual framework for these technologies, which we divided into front-end and base technologies. Front-end technologies consider four dimensions: Smart Manufacturing, Smart Products, Smart Supply Chain and Smart Working, while base technologies consider four elements: internet of things, cloud services, big data and analytics. We performed a survey in 92 manufacturing companies to study the implementation of these technologies. Our findings show that Industry 4.0 is related to a systemic adoption of the front-end technologies, in which Smart Manufacturing plays a central role. Our results also show that the implementation of the base technologies is challenging companies, since big data and analytics are still low implemented in the sample studied. We propose a structure of Industry 4.0 technology layers and we show levels of adoption of these technologies and their implication for manufacturing companies.
•We study Industry 4.0 technology patterns in 92 manufacturing companies.•We propose a framework with front-end and base technologies of Industry 4.0•Our method is based on cluster analysis and independence tests.•The main contribution is a maturity model showing technology patterns.•Big Data, analytics and the implementation of flexibilization are the main challenges.
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