Data-Driven Framework for Predictive Maintenance in Industry 4.0 Concept

Sai, Cuong; Shcherbakov, Maxim; Tran, Van Phu

doi:10.1007/978-3-030-29743-5_28

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…3.2.2.1 IT requirements. Nowadays, with the trend of smart manufacturing and the rapid development of information and communication technologies (ICTs), companies are increasingly applying types of sensors and information technologies to capture data at all stages of production (Sai et al, 2019). In this context, WiFi, wireless local area network (WLAN), Bluetooth, 3 G/4 G/5G, barcode, RFID readers, and sensors are often used (Sanders et al, 2016;Neradilova and Fedorko, 2017).…”

Section: Technical Requirementsmentioning

confidence: 99%

“…In this context, cloud computing and cybersecurity can be understood as requirements instead of enabling technologies. As an example, the PdM project presented by Sai et al (2019) was developed by accessing historical failure data stored in local files (SQL database, cloud such as Amazon S3, and Hadoop Distributed File System). Another cloud CPS need to deal with the problem posed by heterogenous networks and protocols when integrating components of different natures from different sources (Ma et al, 2017).…”

Section: Technical Requirementsmentioning

confidence: 99%

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Contact points between Lean Six Sigma and Industry 4.0: a systematic review and conceptual framework

Sordan

Oprime

Pimenta

et al. 2021

IJQRM

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PurposeThis paper aims to develop a conceptual framework of the implementation of the contact points (CPs) between Lean Six Sigma practices and Industry 4.0 technologies.Design/methodology/approachA systematic literature review was carried out based on two samples. A first sample containing 78 articles was analyzed through bibliometric indicators. After that, a second sample of 33 articles was analyzed in-depth according to research questions.FindingsThe conceptual framework involves 13 CPs between Lean Six Sigma (LSS) practices and I4.0 technologies (what), going through the technical requirements needed (how), categorized as information technology (IT), automation and competence requirements, to finally present the main results reported in the literature (why).Research limitations/implicationsThis paper presents an innovative perspective of interactions between digital technologies and LSS practices, expanding knowledge about Digital LSS. Such perspective gives emphasis to the importance of technical requirements, such as communication and connectivity protocols, network topology, machine-to-machine communication (M2M), human–machine interfaces (HMI), as well as analytical and digital skills.Practical implicationsThe managerial implications regarding the digitalization of LSS practices address the investments required for the acquisition and maintenance of cyber-physical systems (CPS). Moreover, there is a need for the development of skills so that operators can successfully use the new technologies in a context of continuous improvement.Originality/valueThis paper presents a conceptual framework covering 13 CPs between LSS practices and Industry 4.0 technologies, the technical requirements and the expected results. It is hoped that this framework can assist future research and operational excellence projects towards digitalization.

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Section: Technical Requirementsmentioning

confidence: 99%

Section: Technical Requirementsmentioning

confidence: 99%

Contact points between Lean Six Sigma and Industry 4.0: a systematic review and conceptual framework

Sordan

Oprime

Pimenta

et al. 2021

IJQRM

View full text Add to dashboard Cite

show abstract

“…Due to these factors, a configurable model was decided as the better option, as it is then possible to change and adapt the simulation depending on energy supply factors, module design, processes and components in the assembly steps, tooling and the energy consumption for each of these. As a strategy, PdM is known as condition-based maintenance [25]. Based on this basic assumption, energy is treated as a monitored condition whose readings are frequently reported and stored in the database.…”

Section: Methodsmentioning

confidence: 99%

Energy Saving in Lithium-Ion Battery Manufacturing through the Implementation of Predictive Maintenance

Titmarsh

Assad

Harrison

2022

2022 International Conference on Computing, Electronics &Amp; Communications Engineering (iCCECE)

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“…The search of keyword «preventive maintenance» in the Scopus database indicated only seven articles [17][18][19][20][21][22][23] about this subject. Only two of them present a proposal for a model to fit the theme under study, and none addresses the Portuguese reality.…”

Section: Objectives and Methodologiesmentioning

confidence: 99%

Charting a Path for Industry 4.0. An Industry and University Experience

Dinis¹,

Esteves

Anunciação

2021

Perspectives and Trends in Education and Technology

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The scientific development of the economy and society often depends on the proximity and interaction between higher education institutions and businesses. When this proximity is achieved, a win-win relationship is established between the generation of scientific knowledge and the competitiveness of economic organizations. This work aims to present a project developed between three institutions (Higher Education Institution, an Industrial organization, and a Software house) which culminated in the development of a technological solution in the area of pre-existing maintenance for industrial enterprises in an Industry 4.0 context.

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Data-Driven Framework for Predictive Maintenance in Industry 4.0 Concept

Cited by 7 publications

References 13 publications

Contact points between Lean Six Sigma and Industry 4.0: a systematic review and conceptual framework

Contact points between Lean Six Sigma and Industry 4.0: a systematic review and conceptual framework

Energy Saving in Lithium-Ion Battery Manufacturing through the Implementation of Predictive Maintenance

Charting a Path for Industry 4.0. An Industry and University Experience

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