Using formal methods to scope performance challenges for Smart Manufacturing Systems: Focus on agility

Jung, Kiwook; Morris, Katherine C.; Lyons, Kevin W.; Leong, Swee; Cho, Hyunbo

doi:10.1177/1063293x15603217

Cited by 16 publications

(7 citation statements)

References 34 publications

(48 reference statements)

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“…O conjunto de dados e informações coletados por diferentes sensores e demais componentes pode ser auto-organizado em rede e move-se dinamicamente conforme o comportamento real dos processos produtivos (Smirnov;Sandkuhl;Shilov, 2013). Os sistemas de fabricação e as tecnologias envolvidas precisam ser ágeis para acompanhar as diversas situações reais que podem surgir na indústria, bem como será essencial uso de dados e informações apropriados, detalhados e precisos (Jung et al, 2015).…”

Section: Obtenção Do Portfólio De Artigosunclassified

Influências do conceito e das tecnologias da indústria 4.0 no ambiente industrial

Silva

Kovaleski

Pagani

2020

Exacta

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O Cenário Industrial 4.0 está configurado como Quarta Revolução Industrial, consistindo na produção inteligente a partir de integrações digitais com processos físicos, denominadas de Sistemas Cibernéticos Físicos (SCFs), entre outras tecnologias e procedimentos. Este estudo teve como objetivo explorar as perspectivas tecnológicas da Indústria 4.0 para o ambiente industrial. Para a realização deste estudo, foi realizada uma revisão da literatura, utilizando protocolos estruturados e critérios de filtragem de artigos. Entre o total de 93 artigos, obteve-se um número de 34 artigos para análises. Os artigos mais relevantes foram analisados por meio de leituras e coleta de informações. A fim de tornar a Indústria 4.0 uma realidade, foi constatada uma série de mudanças tecnológicas e de gestão para indústrias de manufatura. Pesquisas com o objetivo de subsidiar o desenvolvimento de novos estudos da Indústria 4.0, como estudos exploratórios e/ou aplicados com foco na gestão tecnológica e industrial, são importantes para o enriquecimento do assunto.

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Section: Obtenção Do Portfólio De Artigosunclassified

Influências do conceito e das tecnologias da indústria 4.0 no ambiente industrial

Silva

Kovaleski

Pagani

2020

Exacta

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“…Strategic planning issues drive current research towards scenario planning for disruptive innovation in future factories integrated into the business process management system (Rashid et al,0000). Jung et al (Jung, Morris, Lyons, Leong, & Cho, 2015) present an approach to map strategic goals with crucial components of manufacturing systems. The focus is on a systematic identification of operational activities corresponding to strategic goals using multiple reference models.…”

Section: Integration Of Smart Strategies For Manufacturing Businessesmentioning

confidence: 99%

Innovation landscape and challenges of smart technologies and systems – a European perspective

Micheler

Goh

Lohse

2019

Production & Manufacturing Research

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Smart technologies with higher degrees of autonomy will be essential to achieve the next breakthrough in both agility and productivity in future manufacturing systems, often referred to as Industry 4.0. However, the technologies will also bring substantial design and integration challenges and novelty risks to manufacturing businesses. The aim of this paper is to analyse the current landscape and to identify the challenges for introducing smart technologies into manufacturing systems in Europe. Expert knowledge from both industrial and academic practitioners in the field was extracted using an online survey. A workshop was used to triangulate and extend the survey results. The findings indicate three main challenges for the ubiquitous implementation of smart technologies in manufacturing are: i) the perceived risk of novel technologies, ii) the complexity of integration, and iii) the consideration of human factors. Recommendations are made based on these findings to transform the landscape for smart manufacturing. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

“…The development of manufacturing not only considers technological innovations but also economic, social and environmental effects [4,7]. In the literature, many novel paradigms known as intelligent manufacturing systems (IMS) [8][9][10][11][12][13][14][15] have been proposed such as holonic [16], biological [17], reconfigurable [18], and cloud manufacturing systems [19].In the manufacturing field, Industry 4.0 is characterized by the autonomous systems with cyber and physical representation [20][21][22] and advance in ICT [23] such as cloud computing [24], internet of things (IoT), internet of service (IoS) [25][26][27][28][29], agent technology [30][31][32][33][34][35], cognitive technology [36,37], big data [38,39], data mining [40,41], and artificial intelligence [42][43][44][45][46][47]. Smart manufacturing systems (SMS) built with intelligent cyber-physical systems (CPSs) are the heart of the fourth industrial revolution [21,48].…”

mentioning

confidence: 99%

Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context

Tran

Park²,

Nguyen

et al. 2019

Applied Sciences

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Featured Application: A proposed smart manufacturing system has the ability to adapt to manufacturing changes. Abstract:The complexity and dynamic of the manufacturing environment are growing due to the changes of manufacturing demand from mass production to mass customization that require variable product types, small lot sizes, and a short lead-time to market. Currently, the automatic manufacturing systems are suitable for mass production. To cope with the changes of the manufacturing environment, the paper proposes the model and technologies for developing a smart cyber-physical manufacturing system (Smart-CPMS). The transformation of the actual manufacturing systems to the Smart-CPMS is considered as the next generation of manufacturing development in Industry 4.0. The Smart-CPMS has advanced characteristics inspired from biology such as self-organization, self-diagnosis, and self-healing. These characteristics ensure that the Smart-CPMS is able to adapt with continuously changing manufacturing requirements. The model of Smart-CPMS is inherited from the organization of living systems in biology and nature. Consequently, in the Smart-CPMS, each resource on the shop floor such as machines, robots, transporters, and so on, is an autonomous entity, namely a cyber-physical system (CPS) which is equipped with cognitive capabilities such as perception, reasoning, learning, and cooperation. The Smart-CPMS adapts to the changes of manufacturing environment by the interaction among CPSs without external intervention. The CPS implementation uses the cognitive agent technology. Internet of things (IoT) with wireless networks, radio frequency identification (RFID), and sensor networks are used as information and communication technology (ICT) infrastructure for carrying out the Smart-CPMS.Currently, manufacturing demands are changing from mass production to mass customization, which is focused on exclusive and individualized demand [2,3]. This trend requires the manufacturing systems to have the ability to adapt to the fast change of the manufacturing environment. To face this challenge, the new trend of manufacturing system development is to apply autonomous behaviors inspired from living systems and nature to have the sustainable manufacturing systems. Industry 4.0 enables the realization of sustainable manufacturing using the ubiquitous information and communication technology (ICT) infrastructure [4]. National strategies for developing smart manufacturing systems are focused on by both developing and developed countries [5,6]. The development of manufacturing not only considers technological innovations but also economic, social and environmental effects [4,7]. In the literature, many novel paradigms known as intelligent manufacturing systems (IMS) [8][9][10][11][12][13][14][15] have been proposed such as holonic [16], biological [17], reconfigurable [18], and cloud manufacturing systems [19].In the manufacturing field, Industry 4.0 is characterized by the autonomous systems with cyber and physical representation [20]...

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Using formal methods to scope performance challenges for Smart Manufacturing Systems: Focus on agility

Cited by 16 publications

References 34 publications

Influências do conceito e das tecnologias da indústria 4.0 no ambiente industrial

Influências do conceito e das tecnologias da indústria 4.0 no ambiente industrial

Innovation landscape and challenges of smart technologies and systems – a European perspective

Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context

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