Challenges in Sensors Technology for Industry 4.0 for Futuristic Metrological Applications

Varshney, Anurag; Garg, Naveen; Nagla, K. S.; Nair, T. S.; Jaiswal, Shiv Kumar; Yadav, Sanjay; Aswal, D. K.

doi:10.1007/s12647-021-00453-1

Cited by 63 publications

(34 citation statements)

References 51 publications

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“…It is generally agreed that innovations relevant to Industry 4.0 would significantly affect current industries and future sector development. Although several companies look forward to introducing new technologies to improve their services’ quality, productivity, and efficiency, they reduce risks and sustain market competitiveness [ 53 , 116 , 117 , 118 ].…”

Section: Research Challenges Opportunities Scope Of Future Work and Implication For Practitionersmentioning

confidence: 99%

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Tambare¹,

Meshram²,

Lee

et al. 2021

Sensors

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The birth of mass production started in the early 1900s. The manufacturing industries were transformed from mechanization to digitalization with the help of Information and Communication Technology (ICT). Now, the advancement of ICT and the Internet of Things has enabled smart manufacturing or Industry 4.0. Industry 4.0 refers to the various technologies that are transforming the way we work in manufacturing industries such as Internet of Things, cloud, big data, AI, robotics, blockchain, autonomous vehicles, enterprise software, etc. Additionally, the Industry 4.0 concept refers to new production patterns involving new technologies, manufacturing factors, and workforce organization. It changes the production process and creates a highly efficient production system that reduces production costs and improves product quality. The concept of Industry 4.0 is relatively new; there is high uncertainty, lack of knowledge and limited publication about the performance measurement and quality management with respect to Industry 4.0. Conversely, manufacturing companies are still struggling to understand the variety of Industry 4.0 technologies. Industrial standards are used to measure performance and manage the quality of the product and services. In order to fill this gap, our study focuses on how the manufacturing industries use different industrial standards to measure performance and manage the quality of the product and services. This paper reviews the current methods, industrial standards, key performance indicators (KPIs) used for performance measurement systems in data-driven Industry 4.0, and the case studies to understand how smart manufacturing companies are taking advantage of Industry 4.0. Furthermore, this article discusses the digitalization of quality called Quality 4.0, research challenges and opportunities in data-driven Industry 4.0 are discussed.

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Section: Research Challenges Opportunities Scope Of Future Work and Implication For Practitionersmentioning

confidence: 99%

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Tambare¹,

Meshram²,

Lee

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…These systems also help in real-time diagnostics and fault detection. The use of automation and robots increases the efficiency of the inspection process [17]. The robots are attached with structural light scanners in them which during production can assess the product quality in real-time, this also helps in monitoring the measurement of more intricate areas inaccessible present measuring instruments.…”

Section: Metrologymentioning

confidence: 99%

Multidisciplinary avenues on the integration of industry 4.0 in the degree of mechanical engineering

Deshpande¹,

Khandelwal²,

Singh³

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The world is moving towards Industry 4.0. There has been rapid growth in a different type of technologies being used in industries. Modern industries have been exploiting the digitalization of machines to increase efficiency and analyzing the data for various other purposes. Even though mechanical engineers and manufacturing move hand in hand, in this data-driven production era, mechanical engineers will have to adapt themselves to various other technologies from automation to data analytics for their efficient implementation. This paper proposes a conceptual framework for Industry 4.0, and also discusses how these technological advancements will assist mechanical engineers in various tasks like designing, machining, etc. The suggested framework covers the entire lifecycle from manufacturing to product deployment in the sense of Industry 4.0.

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“…Unlike Industry 4.0, which focusses on new technology to solve today’s challenges, Lean 4.0 is a technology enemy whose philosophy revolves around people, processes and a culture of continuous improvement. At first glance, the Lean principles of people orientation and simplicity can be incompatible with Industry 4.0’s cutting-edge digital and automated technologies (Dombrowski et al , 2019; Varshney et al , 2021). Lean 4.0 and Industry 4.0 technologies can not only coexist, but they can also complement and enable one another, resulting in a more robust integrated paradigm, possibly dubbed Lean 4.0, that manufacturing businesses can use to improve the performance of their operations and supply chains.…”

Section: Relationship Between Industry 40 and Lean 40mentioning

confidence: 99%

Exploring relationships between Lean 4.0 and manufacturing industry

Javaid

Haleem

Singh

et al. 2021

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Purpose Over the past few decades, lean manufacturing has focussed on being customer-centred and now Lean 4.0 technologies have made it possible for manufacturers to have a deeper view of waste reduction. Technologies such as the internet of things, artificial intelligence, three-dimensional printing, robotics, real-time data, cloud computing, predictive analytics and augmented reality, are helpful to achieve Lean 4.0. This study aims to develop the conceptual understanding of Lean 4.0, related tools and linkage with Industry 4.0. Further, it provides the strategies for implementing Lean 4.0, developing lean culture and highlights the Lean 4.0 application in the manufacturing context. Design/methodology/approach This study relates to Lean 4.0 and its technologies. Prominent research is identified through Scopus, Web of Science, ScienceDirect and Google Scholar and studied as per the objective of this study. This lean revolution provides customers desire for personalisation, connectedness, high-quality and valuable products. Lean 4.0 provides valuable information on the value chain and production process. This revolution has significantly impacted refining production processes for a greater level of adaptability and cost reduction. Findings This paper is brief about Lean 4.0 and its capabilities for the reduction of waste. The authors discussed different tools used in Lean 4.0 and its relationship with Industry 4.0. The classical strategies and progressive features of Lean 4.0 for overall enhancing the manufacturing sphere are discussed diagrammatically. Finally, it identified and discussed 14 significant applications of Lean 4.0 for manufacturing industries. Originality/value This study provides a comprehensive understanding of Lean 4.0 and related tools and strategies that help the upcoming manufacturing industries.

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Challenges in Sensors Technology for Industry 4.0 for Futuristic Metrological Applications

Cited by 63 publications

References 51 publications

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Multidisciplinary avenues on the integration of industry 4.0 in the degree of mechanical engineering

Exploring relationships between Lean 4.0 and manufacturing industry

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