Collaborative Maintenance in flow-line Manufacturing Environments: An Industry 4.0 Approach

Σίψας, Κωνσταντίνος; Alexopoulos, Kosmas; Xanthakis, Vangelis; Chryssolouris, George

doi:10.1016/j.procir.2016.09.013

Cited by 70 publications

(22 citation statements)

References 7 publications

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“…The system requirements specification (SRS) bring to mind two main requirements of a system; functional and non-functional requirements. A functional requirement of a system is an activity or task that a system must be able to perform [15], "what the product must do" [16], "what the system should do" [17]. Functional requirements can also be defined as the behavioral aspect of a system [18]; the kinds of requirement that specifies the inputs or the stimuli into the system, the response or the outputs from the system, and also importantly behavioral relationships between them; which is also referred to as functional or operational requirements [19].…”

Section: Cloud-based Specification Requirements Model Resultsmentioning

confidence: 99%

Cloud-Based Education As a Service (CEAAS) System Requirements Specification Model of Higher Education Institutions in Industrial Revolution 4.0

2019

IJRTE

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In today’s higher education institutions (HEIs), intelligentization and digitization of education process are greatly required. Production industries are presently making changes from large-scale production to specialized or customized production. The term Industry 4.0 (IR 4.0) represents the fourth industrial revolution; the present movement or inclination of automation and data exchange and sharing in manufacturing technologies with the main aim of satisfying the individual customer desire and needs. The quick progressions in production technologies and its uses in the industries enhance production efficiency and change the workplace from tasks-based to the human-focused features. Higher education in the IR 4.0 (HE 4.0) is a complex, intricate and intriguing opportunity which has the potential to change the society for the better. The convergence and integration of man and machine will decrease the subject distance between social science and humanity and also technology and science. This will definitely need in-depth and diverse interdisciplinary teaching, research and innovation. Cloud computing (CC) as an IR 4.0 contributing technology, provides a novel means of educating people that will ultimately disrupt the present HEIs systems. Cloud-based education as a service in the era of fourth industry (CEaaS 4.0) can deliver education services in the shortest, most effective, and best affordability. The aim of this study is to propose a CEaaS system requirements specification (SRS) model that includes functional and non-fictional requirements; aligned with IR 4.0, the next industrial revolution.

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Section: Cloud-based Specification Requirements Model Resultsmentioning

confidence: 99%

Cloud-Based Education As a Service (CEAAS) System Requirements Specification Model of Higher Education Institutions in Industrial Revolution 4.0

2019

IJRTE

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“…The focus in that topic lies on the following research: control of complex systems, safety, organization and design of work, and resource efficiency (Marré, Beihofer, Haggenmüller, The Influence of New Information Technologies in Supply Chains Logistics… 91 2015). The enormous amount of information gathered and generated by Information and Communication Technology (ICT) systems and sensors installed at the shop-floor needs to be presented in a manner that could truly speed up production processes, enable immediate reaction to issues and shortcomings (Sipsas, Alexopoulos, Xanthakis, Chryssolouris, 2016). A typical example of Industry 4.0 is a Cyber-Physical System, such as smart vehicle.…”

Section: Localized Manufacturingmentioning

confidence: 99%

“…This valuable information can address many useful notations for the drivers, such as route prediction and driving skills analysis. With this production, a data mining method is used for the route prediction which achieves 80% prediction accuracy (Qina, Liua, Grosvenora, 2016) As it was already mentioned, the paradigm of new industry solutions promotes the connection of physical smart object, both to each other and to the Internet (Sipsas, Alexopoulos, Xanthakis, Chryssolouris, 2016). A smart object can be a sensor, a thing, or any physical device that has the capability to sense the environment, to collect the data from it and to interact and communicate it with any other physical device.…”

Section: Localized Manufacturingmentioning

confidence: 99%

The Influence of New Information Technologies in Supply Chains Logistics on Mobility in Urban Areas

Chaberek-Karwacka

2017

Prace KGP PTG

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Cities are places of countless logistics processes, i.e. the processes of flow of all kinds of resources: human, material, information. The basic problem of contemporary cities are factors limiting their sustainable development. Most of them originate from excessive congestion caused by individual motorization and road freight transport. In recent years, supply chains intensively develop and implement new information technologies. That aims at rationalizing the business logistics processes by improving the information flows which is followed by reducing the demand for physical resources and the reduction of processing time and costs. Because the cities are large areas of logistics processes related to the economic activities of enterprises, the purpose of this article is to answer the following question: how do new information technologies, used in logistics processes, influence the structure of resources mobility in urban areas and how they can help in solving problems of congestion in urban areas. The main assumption of the study is that information flows can partially substitute real flows, which leads to the main thesis of the research that new technologies which streamline the flows of information in B2B and B2C relation can reduce the demand for goods and human flows within the cities. That rationalization translates into changes of resources demand structure and thus a change in demand for their mobility. The study used analysis and deduction method based on the literature and real life examples in the field of information technology which are already in use and those that can be used soon in logistics processes. This field of research is underdeveloped because logisticians focus their research on economization of business logistics processes and do not pay much attention to how they can influence urban areas.

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“…A Indústria 4.0 promove a conexão de itens físicos, como sensores, dispositivos e ativos corporativos, entre si e com a Internet. A enorme quantidade de informações coletadas e geradas pelos sistemas e sensores de TIC instalados no chão de fábrica precisa ser apresentada de uma maneira que possa realmente acelerar os processos de produção, permitir uma reação imediata a problemas e deficiências [9]. Dentre as alternativas existentes, que estão preparadas para a Indústria 4.0 e para atender às demandas de manutenção, estão os sensores sem fio.…”

Section: Introductionunclassified

Uso do sensor inteligente na manutenção preditiva do motor de uma extrusora

Martins

Fabro²

2020

SCI

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A inserção das empresas no universo da Indústria 4.0 é necessário para a competitividade e continuidade das mesmas. E uma das áreas onde a tecnologia 4.0 pode ter um impacto relevante é na manutenção, pois o uso de mecanismos inteligentes pode promover uma antecipação de problemas e quebras em equipamentos, impactando em aumentos de performance e redução de custos. Este estudo tem por objeti vo avaliar o funcionamento de um sensor inteligente em um equipamento industrial, de modo a identificar, a partir de medições contínuas, o estado de saúde do mesmo, atuando como instrumento de manutenção preditiva. De forma experimental, foi instalado um sensor em um motor de extrusora industrial e os dados foram coletados a partir do uso de Smartphone com conexão Bluetooth e enviados para a plataforma através de Internet. Foram realizados acompanhamentos através da plataforma e do aplicativo de celular, que possibilitam a visualização online da saúde instantânea do motor, bem como uma avaliação histórica do mesmo. Por fim, concluiu-se que o uso do sensor tem vantagens relacionadas à possibilidade de monitorar continuamente o equipamento, principalmente quando tiver seu uso aplicado a equipamentos críticos para o processo.

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Collaborative Maintenance in flow-line Manufacturing Environments: An Industry 4.0 Approach

Cited by 70 publications

References 7 publications

Cloud-Based Education As a Service (CEAAS) System Requirements Specification Model of Higher Education Institutions in Industrial Revolution 4.0

Cloud-Based Education As a Service (CEAAS) System Requirements Specification Model of Higher Education Institutions in Industrial Revolution 4.0

The Influence of New Information Technologies in Supply Chains Logistics on Mobility in Urban Areas

Uso do sensor inteligente na manutenção preditiva do motor de uma extrusora

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