Prioritizing barriers for the adoption of Industry 4.0 technologies

Senna, Pedro Pinho; Ferreira, L. S.; Barros, Ana Cristina; Roca, Jaime Bonnín; Magalhães, Vanessa S.M.

doi:10.1016/j.cie.2022.108428

Cited by 63 publications

(49 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The literature on I4.0 barriers is still quite divergent in terms of the total number of barriers. Senna et al (2022) and Glass et al (2018) present the most significant challenge as a lack of standards. Others are mentioned as the lack of employee knowledge and skills (Elhusseiny and Crispim, 2022;Verma et al, 2022;Kumar et al, 2021e).…”

Section: 2mentioning

confidence: 99%

“…Regarding the methodology used, the studies explore the case study, mainly in the manufacturing sector (Kumar et al, 2021c; the systematic review (Elhusseiny and Crispim, 2022;Gromova et al, 2022;Verma et al, 2022;Yilmaz et al, 2022;Reis and Camargo J unior, 2021;Stornelli et al, 2021), qualitative analysis in several case studies (Cugno et al, 2021) and survey (Stentoft et al, 2021). Most of these studies address multicriteria analysis and/or interpretive structural modeling (ISM) (Jena and Patel, 2022;Senna et al, 2022;Verma et al, 2022;Kumar et al, 2021bMahmood et al, 2021;Majumdar et al, 2021;Vigneshvaran and Vinodh, 2020). However, the literature suggests the use of structural equation modeling (SEM), statistical techniques, to treat survey data as an opportunity for future studies (Senna et al, 2022;Khanzode et al, 2021;Kumar et al, 2021e;Mahmood et al, 2021).…”

mentioning

confidence: 99%

“…Most of these studies address multicriteria analysis and/or interpretive structural modeling (ISM) (Jena and Patel, 2022;Senna et al, 2022;Verma et al, 2022;Kumar et al, 2021bMahmood et al, 2021;Majumdar et al, 2021;Vigneshvaran and Vinodh, 2020). However, the literature suggests the use of structural equation modeling (SEM), statistical techniques, to treat survey data as an opportunity for future studies (Senna et al, 2022;Khanzode et al, 2021;Kumar et al, 2021e;Mahmood et al, 2021). The use of this technique was not observed in the articles explored.…”

mentioning

confidence: 99%

“…Furthermore, analyzing the research context, the studies address the context of developing countries, such as Indian manufacturing (Khanzode et al, 2021;Kumar et al, 2021b;Majumdar et al, 2021;Nimawat and Gidwani, 2021) and Pakistani (Mahmood et al, 2021). The literature also presents studies that explore the context of developed countries such as Portuguese (Senna et al, 2022), Danish (Stentoft et al, 2021) and Italian (Cugno et al, 2021)) industries. Finally, other studies compare the manufacturing sector in the context of developed and developing economies (Elhusseiny and Crispim, 2022;Raj et al, 2020).…”

mentioning

confidence: 99%

See 3 more Smart Citations

A study on the barriers that impact the adoption of Industry 4.0 in the context of Brazilian companies

CORDEIRO

Reis

Fernandes

2023

TQM

View full text Add to dashboard Cite

PurposeThis research aims to evaluate the impact of barriers experienced by Brazilian companies in adopting Industry 4.0 (I4.0).Design/methodology/approachAs a methodological approach, the survey method was used, adopting the use of the questionnaire for data collection. From the feedback of 99 companies (with an index of 80%), quantitative analyzes of the data were carried out with the aid of factor analysis and linear regression to validate the proposed structural model.FindingsThe barriers construct does not impact the I4.0 adoption construct. Directly evaluating the effect of the variables that make up the barriers construct in the I4.0 adoption construct, it was observed that three barriers affect effectively the adoption of I4.0: technological infrastructure; financial constraint and lack of understanding of the benefits of I4.0.Research limitations/implicationsAs a limitation, the research was conducted only in the Brazilian context, requiring the development of future studies in other countries that can strengthen the findings of this research.Practical implicationsIn addition, the results achieved provide relevant insights into public policymakers and business managers, helping them to deeply understand the barriers that impact the adoption of I4.0. This facilitates the propagation of I4.0 concepts in the context of Brazilian companies and in the formulation of public policies adapted to each sector, allowing a more assertive action in the face of the types of barriers experienced by organizations during the adoption of I4.0.Social implicationsThe findings can help practitioners and policymakers to understand in detail this new industrial model and the difficulties that prevent its implementation.Originality/valueFrom an extensive literature review, no studies were identified that statistically validate which barriers effectively affect the adoption of I4.0. This research is a pioneer in proposing a structural model to analyze the barriers experienced by workers during the adoption of I4.0, exploring Brazilian companies, from different economic sectors and sizes. It is noteworthy that the literature still focuses efforts on manufacturing companies.

show abstract

Section: 2mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A study on the barriers that impact the adoption of Industry 4.0 in the context of Brazilian companies

CORDEIRO

Reis

Fernandes

2023

TQM

View full text Add to dashboard Cite

show abstract

“…Therefore, when organisations struggle to comprehend the barriers to modern technology adoption and how they operate, and they often increase their aversion to upgrading their technologies (Ingaldi and Ulewicz, 2019). Some studies have addressed these issues and highlighted barriers to the adoption of modern technologies (Senna et al, 2022;Raj et al, 2020;Calabrese et al, 2020). However, these studies do not focus on the solutions to overcoming these barriers.…”

Section: Introductionmentioning

confidence: 99%

Adoption of modern technologies for implementing industry 4.0: an integrated MCDM approach

Javaid

Khan²,

Haleem³

et al. 2022

BIJ

View full text Add to dashboard Cite

PurposeModern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.Design/methodology/approachBarriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.FindingsSeveral modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.Research limitations/implicationsThe barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.Practical implicationsThis identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.Originality/valueThis study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

show abstract

Sensor Technologies for Hydraulic Valve and System Performance Monitoring: Challenges and Perspectives

Liu,

Yuan,

Matias

et al. 2024

Advanced Sensor Research

View full text Add to dashboard Cite

Hydraulic fluid power systems are essential for a range of engineering applications such as transportation, heavy industry, and robotics. The scale of the industry is such that hydraulic pumps are estimated to account for 15% of all the energy consumption in the European Union and yet the average efficiency of fluid power systems is only 22%. The digitalization of hydraulic systems offers significant advantages in terms of energy efficiency, performance, reduced maintenance, and automation. However, this requires advances in the integration of smart sensing technologies to provide real‐time feedback on the operation and health of hydraulic components. This review details developing trends in hydraulic fluid power research and provides an overview of progress related to the digitalization of these systems and their integration within an Industry 4.0 framework. The fundamentals of relevant sensor technologies and innovative approaches for integrating sensors into hydraulics systems are discussed. Methods to deliver power to the sensors and associated electronics through harvested pressure ripples are also reviewed. An outlook with respect to future directions in this field is given, including an assessment of the potential for exploiting advanced manufacturing technologies, in particular additive manufacturing, to facilitate successful sensor integration into hydraulic fluid power systems.

show abstract

Prioritizing barriers for the adoption of Industry 4.0 technologies

Cited by 63 publications

References 62 publications

A study on the barriers that impact the adoption of Industry 4.0 in the context of Brazilian companies

A study on the barriers that impact the adoption of Industry 4.0 in the context of Brazilian companies

Adoption of modern technologies for implementing industry 4.0: an integrated MCDM approach

Sensor Technologies for Hydraulic Valve and System Performance Monitoring: Challenges and Perspectives

Contact Info

Product

Resources

About