Which tools are needed to implement Lean Production in an Industry 4.0 environment? A literature review

Silvestri, Luca; Gallo, Tommaso; Silvestri, Cecilia

doi:10.1016/j.procs.2022.01.377

Cited by 13 publications

(14 citation statements)

References 40 publications

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“…This technology, known as IoT, for example, allows companies' continuous improvement departments to operate faster and more assertively compared to manual LM methods (Marinelli, et al, 2021), (Silvestri, et al, 2022), (Naciri, et al, 2022). Still, on the theme of continuous improvement, also known as Kaizen (means "change for the better") in the LM, the use of Big Data analysis (a strategic tool used for the collection, organization, analysis, and interpretation of a large volume of data) was highlighted by the authors (Marinelli, et al, 2021) because they assist managers in strategic business decisions.…”

Section: Resultsmentioning

confidence: 99%

“…The works presented by the authors (Pagliosa, et al, 2021), (Schumacher, et al, 2021), (Ghobakhloo, 2021), (Ghaithan, et al, 2021), (Silvestri, et al, 2022), (Reyes, et al, 2021) reiterate that IoT and CPS technologies, very present in I4.0, are fundamental to connect factories to the Internet. On the other hand, LM is all about identifying and eliminating waste in the production process using tools like Kaizen, et al, ("fail-safe" in Japanese).…”

Section: Resultsmentioning

confidence: 99%

“…Lean integration with radio frequency identification technology improved results and reduced the total operating time by 87%. , (Silvestri, Gallo, & Silvestri, 2022), (Dossou, Torregrossa, & Martinez, 2022) With the support of I4.0 communication, using the SharePoint® website and gathering all the information in one place not only improved access to critical systems, tools and data but also improved communication between the Integrated Production Systems (IPS) team and the Operations Team with a result 3.5 times better than the previous scenario. (Bianco, Godinho Filho, Osiro, & Ganga, 2021), (Silvestri, Gallo, & Silvestri, 2022)…”

Section: Resultsmentioning

confidence: 99%

“…The use of predictive algorithms in conjunction with TPM (a tool used by the industry to optimize process efficiency) was also indicated by 44% of respondents. (Marinelli, Ali Deshmukh, Janardhanan, & Nielsen, 2021), (Silvestri, Gallo, & Silvestri, 2022), (Naciri, et al, 2022)…”

Section: Process Maturitymentioning

confidence: 99%

“…Because a proper VSM application requires a large amount of information that is almost always outdated, incorporating of CPS can provide more accurate data for management decisions to prioritize continuous improvement and initiatives based on more realistic scenarios. (Pagliosa, Tortorella, & Ferreira, 2021), (Schumacher, Schmid, Bildstein, & Bauernhansl, 2021), (Ghobakhloo, 2021), (Ghaithan, Khan, Mohammed, & Hadidi, 2021), (Silvestri, Gallo, & Silvestri, 2022), (Reyes, Mula, & Diaz-Madronero, 2021)…”

Section: Systems Integrationmentioning

confidence: 99%

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The synergy of Lean Manufacturing methodology in the context of Industry 4.0: An integrative review

Teles

Abe²,

Nascimento³

et al. 2022

RSD

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Lean Manufacturing methods are used by industries that seek to improve their competitiveness through flexibility, cost reduction, product quality improvements and customer satisfaction. Still, the level of complexity and demand in the manufacturing industry is rapidly expanding, intensifying organizational problems. Industry 4.0 systematically employs state-of-the-art technological solutions, unlike Lean Manufacturing, which is firmly based on the human factor. With a qualitative approach, this study aims to explore the synergistic aspects between Lean Manufacturing and Industry 4.0 in an integrative review. The searches were carried out in the following databases: Web of Science, Scopus, Science Direct and IEEE, totaling 552 articles, of which 19 were selected after applying the inclusion and exclusion criteria. The results show that the technologies that stood out the most in Industry 4.0 with Lean Manufacturing are the Internet of Things, Big Data and Cyber-Physical Systems, making processes faster and more efficient when integrated. A theme identified in two studies was the presence of the Lean leader, who has Lean management skills and is recognized as a critical factor for the implementation of Industry 4.0, as it requires a broad view of the organizational process and the application of Lean tools.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Process Maturitymentioning

confidence: 99%

Section: Systems Integrationmentioning

confidence: 99%

See 3 more Smart Citations

The synergy of Lean Manufacturing methodology in the context of Industry 4.0: An integrative review

Teles

Abe²,

Nascimento³

et al. 2022

RSD

View full text Add to dashboard Cite

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Lean Manufacturing in Digital Transformation of Manufacture

Terelak-Tymczyna,

Niesterowicz

2024

Lecture Notes in Mechanical Engineering

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Laser marking on polyoxymethylene (POM) polymer substrate for a lean manufacturing application

Ofoegbu,

Rosa,

Fernandes

et al. 2024

Int J Adv Manuf Technol

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Laser marking is a critical production process step in most automated production systems. However, some materials such as polyoxymethylene (POM) can be quite challenging to laser to 80 kHz.mark, hence the need to develop new laser marking methods. By employing a wide range of marking parameters (marking speed 15–2000 mm/s, laser power from 10 to 100% of 30 W maximum, and frequencies mainly from 1 to 400 kHz) and characterization techniques, and with the use of marker inks as masking agents successful laser marking POM is demonstrated irrespective of its presentation (white or black coloured) using a new method akin to Laser Polymer Tattooing (LPT), and without prior modification of polymer composition (by addition of laser marking additives). Results indicate laser marking of acceptable quality can be obtained with black POM at marking speeds up to 2000 mm/s. For white POM, markings of acceptable quality were obtained at markings speeds up to 100 mm/s, with laser power ≥ 80% (of 30 W maximum), and with frequencies in the range of 20 kHz with the help of a masking agent. The effects of the laser marking parameters on marking quality and the changes induced in the material are presented and discussed. The wide range of marking parameters employed enabled the determination of feasible marking parameters for the development of a lean manufacturing-based automatic and self-evaluating and improving laser marking system with minimal human intervention.

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Which tools are needed to implement Lean Production in an Industry 4.0 environment? A literature review

Cited by 13 publications

References 40 publications

The synergy of Lean Manufacturing methodology in the context of Industry 4.0: An integrative review

The synergy of Lean Manufacturing methodology in the context of Industry 4.0: An integrative review

Lean Manufacturing in Digital Transformation of Manufacture

Laser marking on polyoxymethylene (POM) polymer substrate for a lean manufacturing application

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