Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Sátyro, Walter Cardoso; Contador, José Celso; Contador, José Luiz; Fragomeni, Marco Aurélio; Monken, Sonia Francisca; Ribeiro, Ana Freitas; Lima, Anderson Ferreira de; Gomes, Jansen Anderson; Nascimento, José Roberto do; Araújo, Josiane Lima de; Prado, Rogério Glaser; Soares, Gilberto Gomes; Souza, Victor Henrique Martins de

doi:10.3390/su132212479

Cited by 17 publications

(14 citation statements)

References 94 publications

(129 reference statements)

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“…The idea was that not all technologies can be useful for all companies, and the differences must be considered. Another concept incorporated into the DAWN readiness model scores was that I4.0 is not only formed by technologies, but much more, such as: willingness to innovate, organizational culture and others (Satyro et al, 2020(Satyro et al, , 2021, thereby a company that has accumulated 70%, can use the 30% a margin to analyze these other implementation factors.…”

Section: 2mentioning

confidence: 99%

The DAWN readiness model to assess the level of use of Industry 4.0 technologies in the construction industry in Brazil

Ribeiro

Coutinho

Sátyro

et al. 2022

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Purpose Construction industry (CI) has great prominence for the world economy, and it is expected that, with the use of the innovative technologies and approaches of Industry 4.0 (I4.0), the new industrial paradigm, construction can reach higher levels of productivity. This study aims to develop a model (readiness model) to assess the level of use of I4.0 technologies by the construction sector in Brazil and its most relevant applications. Design/methodology/approach The methodology used was bibliographic research, design-science research and a survey to validate the model, carried out with 162 companies, considered among the main ones in the sector in Brazil. The literature review revealed 13 technologies of I4.0 applied to construction; hence, the views of industry experts were based on these technologies. Findings The Digital Advancement Within CoNstruction (DAWN) readiness model was proposed, showing that among the 13 evaluated technologies of I4.0 and their applications, the Brazilian construction companies had a low level of utilization; both high and middle-income companies presented this low level of use; some technologies with a greater number of scientific publications were less used in practice in the Brazilian construction. Originality/value The originality and theoretical contribution are to present a readiness model to assess the level of use of I4.0 technologies and their most relevant applications in the CI in countries with an economy similar to Brazil’s, making it possible to measure the level of adoption of these technologies.

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Section: 2mentioning

confidence: 99%

The DAWN readiness model to assess the level of use of Industry 4.0 technologies in the construction industry in Brazil

Ribeiro

Coutinho

Sátyro

et al. 2022

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“…Legislation for the use of such technology is fundamental to mitigate potential errors (Nolte, 2008; Wilcox et al. , 2017; Satyro et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the implementation of immature technologies in products presents some risks. Legislation for the use of such technology is fundamental to mitigate potential errors (Nolte, 2008;Wilcox et al, 2017;Satyro et al, 2021). Furthermore, considerably mature technologies, such as traditional manufacturing, can become disadvantageous (Niaki and Nonino, 2017;Martinsuo and Luomaranta, 2018;Lima et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

The “V” model for decision analysis of additive manufacturing implementation

Lima

Sátyro

Contador

et al. 2023

JMTM

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PurposeThis study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.Design/methodology/approachBased on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.FindingsThe model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.Originality/valueThe model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.

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“…These developments naturally impact the performance of companies that have become more agile to comply with new market requirements. To this end, many companies are seizing the opportunities offered by emerging technologies, especially those related to Industry 4.0 [1], and many works have studied the relationships between Industry 4.0, lean or continuous improvement and their impact on social systems or, more generally, on sustainability issues [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Decision-Making Process through Industry 4.0 Technologies

et al. 2022

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In order to meet the increasingly complex expectations of customers, many companies must increase efficiency and agility. In this sense, Industry 4.0 technologies offer significant opportunities for improving both operational and decision-making processes. These developments make it possible to consider an increase in the level of operational systems and teams’ autonomy. However, the potential for strengthening the decision-making process by means of these new technologies remains unclear in the current literature. To fill this gap, a Delphi study using the Régnier Abacus technique was conducted with a representative panel of 24 experts. The novelty of this study was to identify and characterize the potential for enhancing the overall decision-making process with the main Industry 4.0 groups of technologies. Our results show that cloud computing appears as a backbone to enhance the entire decision-making process. However, certain technologies, such as IoT and simulation, have a strong potential for only specific steps within the decision-making process. This research also provides a first vision of the manager’s perspectives, expectations, and risks associated with implementing new modes of decision-making and cyber-autonomy supported by Industry 4.0 technologies.

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Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Cited by 17 publications

References 94 publications

The DAWN readiness model to assess the level of use of Industry 4.0 technologies in the construction industry in Brazil

The DAWN readiness model to assess the level of use of Industry 4.0 technologies in the construction industry in Brazil

The “V” model for decision analysis of additive manufacturing implementation

Enhancing the Decision-Making Process through Industry 4.0 Technologies

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