Significance of Quality 4.0 towards comprehensive enhancement in manufacturing sector

Javaid, Mohd; Haleem, Abid; Singh, Ravi Pratap; Suman, Rajiv

doi:10.1016/j.sintl.2021.100109

Cited by 91 publications

(91 citation statements)

References 154 publications

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“…Quality control and management have attracted many scholars’ and managers’ interest, and it is an important area of study and research [ 23 , 46 ]. Manufacturers must transition to the “Quality 4.0” concept to integrate new technologies to analyze the data and assess quality [ 96 , 97 ]. Quality 4.0 is a term that refers to the increasing digitization of industry, which employs advanced technologies to improve the quality of manufacturing and services [ 25 , 40 , 98 , 99 , 100 ].…”

Section: Methodologiesmentioning

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: Methodologiesmentioning

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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“…Product quality information is accessible more quickly and provides clarity reports to the material involved in manufacturing. Digitalization recognizes production patterns and quality control complexities in real time (Javaid et al, 2021). It allows producers to react quickly to problems and control quality in all manufacturing processes.…”

Section: Discussionmentioning

confidence: 99%

Enabler toward successful implementation of Quality 4.0 in digital transformation era: a comprehensive review and future research agenda

Thekkoote

2022

IJQRM

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PurposeQuality 4.0 (Q4.0) is related to quality management in the era of Industry 4.0 (I4.0). In particular, it concentrates on digital techniques used to improve organizational capabilities and ensure the delivery of the best quality products and services to its customer. The aim of this research to examine the vital elements for the Q4.0 implementation.Design/methodology/approachA review of the literature was carried out to analyze past studies in this emerging research field.FindingsThis research identified ten factors that contribute to the successful implementation of Q4.0. The key factors are (1) data, (2) analytics, (3) connectivity, (4) collaboration, (5) development of APP, (6) scalability, (7) compliance, (8) organization culture, (9) leadership and (10) training for Q4.0.Originality/valueAs a result of the research, a new understanding of factors of successful implementation of Q4.0 in the digital transformation era can assist firms in developing new ways to implement Q4.0.

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“…By using this technology, supply chains become more dynamic, adaptable, interconnected and performance-demanding with the introduction of intelligent manufacturing. Because supply chains are interconnected, current and emerging security threats might have a broader impact (Lam and Wong, 2018; Mosteiro-Sanchez et al , 2020; Javaid et al , 2021).…”

Section: Need Of Cybersecurity For Industry 40mentioning

confidence: 99%

“…Aside from smart manufacturing, Industry 4.0 technologies are pushing a digital transition across numerous industries. While it poses some minor security issues, they are insignificant compared to the overall benefits (Kiss and Muha, 2018; Javaid et al , 2021; Bhattacharya, 2021).…”

Section: Enablers and Considerations Of Cybersecurity For Industry 40mentioning

confidence: 99%

Perspectives of cybersecurity for ameliorative Industry 4.0 era: a review-based framework

Haleem

Javaid

Singh

et al. 2022

Self Cite

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Purpose Industry 4.0 refers to the interconnection of cyber-physical systems, which connects the physical and digital worlds by collecting digital data from physical objects/processes, and using this data to drive automation and optimisation. Digital technologies used in this revolution gather and handle massive volumes of high-velocity streams while automating field operations and supply chain activities. Cybersecurity is a complicated process that helps sort out various hacking issues of Industry 4.0. This purpose of this paper is to provide an overview on cybersecurity and its major applications for Industry 4.0. Design/methodology/approach The rise of Industry 4.0 technologies is changing how machines and associated information are obtained to evaluate the data contained within them. This paper undertakes a comprehensive literature-based study. Here, relevant research papers related to cybersecurity for Industry 4.0 are identified and discussed. Cybersecurity results in high-end products, with faster and better goods manufactured at a lesser cost. Findings Artificial intelligence, cloud computing, internet of things, robots and cybersecurity are being introduced to improve the Industry 4.0 environment. In the starting, this paper provides an overview of cybersecurity and its advantages. Then, this study discusses technologies used to enhance the cybersecurity process. Enablers, progressive features and steps for creating a cybersecurity culture for Industry 4.0 are discussed briefly. Also, the research identified the major cybersecurity applications for Industry 4.0 and discussed them. Cybersecurity is vital for better data protection in many businesses and industrial control systems. Manufacturing is getting more digitised as the sector embraces automation to a more significant level than ever before. Originality/value This paper states about Industry 4.0 and the safety of multiple business process systems through cybersecurity. A significant issue for Industry 4.0 devices, platforms and frameworks is undertaken by cybersecurity. Digital transformation in the Industry 4.0 era will increase industrial competitiveness and improve their capacity to make optimum decisions. Thus, this study would give an overview of the role of cybersecurity in the effective implementation of Industry 4.0.

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Significance of Quality 4.0 towards comprehensive enhancement in manufacturing sector

Cited by 91 publications

References 154 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

Enabler toward successful implementation of Quality 4.0 in digital transformation era: a comprehensive review and future research agenda

Perspectives of cybersecurity for ameliorative Industry 4.0 era: a review-based framework

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