Critical Success Factors of Industry 4.0 in Automotive Manufacturing Industry

Bhatia, Manjot Singh; Kumar, Saurabh

doi:10.1109/tem.2020.3017004

Cited by 73 publications

(49 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The Industry 4.0 is known as the fourth industrial revolution, which represents a new industrial infrastructure based on cyber physical systems having embedded software connected through IoT to the physical word. Thus, this framework facilitates the easy and faster communication in the production process by creating a real-time optimization, modern control systems and enabling predictive maintenance by introducing machine learning (ML) and artificial intelligence (AI) component [24].…”

Section: Industry 40: Relevance and Implicationsmentioning

confidence: 99%

Challenges in Sensors Technology for Industry 4.0 for Futuristic Metrological Applications

Varshney

Garg

Nagla

et al. 2021

MAPAN

View full text Add to dashboard Cite

The current advances and innovations in sensor technologies attributed to Industry 4.0 serve as the backbone for the inclusive growth of industry and ramping up the economy of any country. Industry 4.0 was basically conceptualized by introducing the Internet of Things (IoT) and Information and Communication technologies (ICT) that serve as an interface between digital and physical world through the fusion of smart sensors. The role of smart sensors and IoT-enabled industrial infrastructure is pivotal for adapting to the advanced technologies based on fusion of smart sensors. Digital meteorological traceability and uses of intelligent sensors, instrumentation and machinery in Industry 4.0, Smart Cities, Digital India and AtmaNirbhar Bharat missions of the government of India, are not only highly important but also in huge demand, which is going to increase manifolds in the years to come. The present paper is an attempt to provide a terse review and perspectives related to the advanced technological developments in this field and the challenges therein.

show abstract

Section: Industry 40: Relevance and Implicationsmentioning

confidence: 99%

Challenges in Sensors Technology for Industry 4.0 for Futuristic Metrological Applications

Varshney

Garg

Nagla

et al. 2021

MAPAN

View full text Add to dashboard Cite

show abstract

“…Industry 4.0 technology has attracted popularity since they can give numerous advantages such as enhanced effectiveness, reduced costs, and higher revenues. The study's key success factors, the understanding of parameters [2]. To understand and identify the performance outcomes and critical success factors of industry 4.0 technologies, the researcher reviewed and identified various published literature.…”

Section: Literature Reviewmentioning

confidence: 99%

An In-Depth Analysis of the Various Factors Influencing Industry 4.0 and its Impact on the Overall Performance of the Industrial Sector to Achieve Sustainable Development

Kumar¹

2021

Int. J. Onl. Eng.

View full text Add to dashboard Cite

<p class="0abstract">In the last two years, the entire world has been confronted with the emergence of pandemic Covid 19, which poses several challenges to the entire human race. Covid 19 has been forced to adopt new innovative technology. To survive in this precarious situation; most of the organization has adopted new innovative technology to meet the expectations of the market and the demands of consumers. In this study, the primary goal is to identify the various factors that have an impact on Industry 4.0 while also evaluating the impact of Industry 4.0 on the overall performance of the industrial sector. An exploratory research approach is used by researchers to discover the characteristics and relationships of new research phenomena. This approach is particularly useful when researchers are looking for answers to the questions of what and how they came to be discovered. This study demonstrates that the use of Industry 4.0 technologies will increase the effectiveness and efficiency of organizations and industries. This is beneficial because organizations and industries need to develop and survive in this competitive era. Adoption of smart machine and smart product applications will become more common with the widespread use of information and communication technology for all aspects of business operations and activities.</p>

show abstract

“…Nevertheless, a topic that is still on the minds of many SCOM academics and practitioners is how to cope with the large capital and time to invest in building BD platforms (Bhatia and Kumar, 2020). Indeed, it is difficult to screen and select the most effective available technologies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Innovation in the supply chain and big data: a critical review of the literature

Centobelli

Cerchione

Cricelli

et al. 2022

EJIM

View full text Add to dashboard Cite

PurposeThis paper aims to propose a framework investigating the diffusion and adoption process of big data (BD) in the supply chain (SC) as a tool to manage process innovation at technological, operational and strategical levels.Design/methodology/approachA comprehensive systematic literature methodology is used to develop the theoretical conceptual framework, which comprehensively describes and captures the innovative stages of BD technology adoption process in SC with a multilevel perspective.FindingsResults show that BD has modified the supply network concept, starting from the dyadic relationships, triads up to the creation of a streamlined and integrated network. These changes are reflected in a novel integrated vision including both benefits and barriers.Research limitations/implicationsThe proposed framework supports companies in redesigning the processes affected by the adoption of BD, helping them in identifying the critical elements, barriers, benefits and expected performance. One limitation is the focus of the study on the analysis of the processes of adoption of BD technology in the SC considering a particular structure of SC characterized by only two levels of supply and by a reduced number of members.Originality/valueAlthough the role of BD in supply chain operations management (SCOM) is well acknowledged in the literature, its adoption and diffusion process from an interorganizational perspective is still missing. Specifically, the adoption stages of BD in SC have been defined at a strategic level, and successively the SC operations and technological perspective have been integrated to depict the operationalization of BD implementation and diffusion.

show abstract

Critical Success Factors of Industry 4.0 in Automotive Manufacturing Industry

Cited by 73 publications

References 89 publications

Challenges in Sensors Technology for Industry 4.0 for Futuristic Metrological Applications

Challenges in Sensors Technology for Industry 4.0 for Futuristic Metrological Applications

An In-Depth Analysis of the Various Factors Influencing Industry 4.0 and its Impact on the Overall Performance of the Industrial Sector to Achieve Sustainable Development

Innovation in the supply chain and big data: a critical review of the literature

Contact Info

Product

Resources

About