Quality 4.0 conceptualisation: an emerging quality management concept for manufacturing industries

Abstract

Purpose Quality 4.0 refers to a modern quality management approach that uses Industry 4.0 technologies, integration and digitalisation. This research explores the current understandings of Quality 4.0 in various publications. The focus is on Quality 4.0 concepts or explanations, available models, motivation and readiness factors for adoption, enablers and technologies that can be leveraged. Design/methodology/approach A qualitative approach was deployed to collect the findings. This paper employs bibliometric, scientometric and visual analytic tools to identify and analyse articles from Scopus, Web of Science (WOS), Google Scholar databases and other sources such as ScienceDirect and Taylor and Francis. Findings The bibliometric results revealed that Quality 4.0 publications began in 2016 and increased dramatically in 2020 and 2021, with India leading the way while scientometric analysis found no clear definition of Quality 4.0 hitherto. However, several authors have defined the concept of Quality 4.0, arguing that it is characterised by digitalisation and integration, Industry 4.0 technologies applications and big data management. Some of the Quality 4.0 models published in the theoretical underpinnings include total quality management (TQM) in the basis of Industry 4.0 model, the European Foundation for quality management model, Quality 4.0 model combining operational technology (OT) and information technology (IT) through digital transformation and the LSN Research eleven axes of Quality 4.0 model. The research highlights key enablers of Quality 4.0 adoption, such as enabling technologies, big data capability, skilled and competent workers, collaboration and leadership support. Research limitations/implications The findings can benefit Quality 4.0 researchers and practitioners on the available Quality 4.0 models, motivation and readiness factors for Quality 4.0 adoption, enablers and leveraged technologies in Quality 4.0. Originality/value This study attempted to explore the current understandings of Quality 4.0 concepts to sediment these emerging quality management concepts for manufacturing industries.

Unleashing the Potential of the TQM and Industry 4.0 to Achieve Sustainability Performance in the Context of a Developing Country

“…In the mid-1950s, the TQM philosophy began in Japan. The term ''TQM'' has arisen from the idea of Total Quality Control (TQC) (Maganga & Taifa, 2022). Perhaps the fundamental explanation for the conception of TQM is the argument that quality is more than simply a subject of control; it must also be managed (Elibal & O ¨zceylan, 2022).…”

“…Industry 4.0 A significant progression from earlier innovations, such as the creation of electricity and then wide-spread automation, Industry 4.0 encompasses the next generation of innovations that businesses need to address. Such innovations in technology include Artificial Intelligence (AI), Machine Learning (ML), Virtual Reality (VR) and Augmented Reality (AR) (Maganga & Taifa, 2022). As such, Industry 4.0 (I4.0) now refers to more than 630 Internet of Things (IoT) platforms that are currently used globally for connecting industries and transforming business operating systems, including Cyber-Physical Systems (CPS), visual computing, and digital manufacturing (Horva ´th & Szabo…”

“…TQM 4.0: A New Concept Quality 4.0 is a relatively new concept (Maganga & Taifa, 2022) which refers to the way in which I4.0 technology can be adopted by, and incorporated into, quality management processes to enhance the overall quality of goods alongside improving business efficiencies. From their literature review, Elibal and O ¨zceylan (2022) outlined six key TQM areas in which I4.0 can be mapped onto customer focus, Leadership, Engagement of People, Process Approach, Improvement, Evidence Decision-Making and Relationship Management.…”

“…The potential of I4.0 for TQM is still yet to be fully explored, but this is an emerging field with growing interest (Maganga & Taifa, 2022), especially for its benefits to sustainability performance.…”

Improving the benefits and cost of using emerging technologies for sustainable recovery from COVID-19 in manufacturing industries

“…All these technologies offer Localization-Agility-Digitization (LAD) insights in responding to industry trends or emerging consumer needs, visibility, accountability, confidentiality, realtime data, intelligent contracts, and sustainability (Bharadwaj et al, 2013;Cirera et al, 2021;Nandi et al, 2021). There has been a lot of progress made in the potential application of ETs across several industries, for example, application of IoT in facility and manufacturing process modeling as well as in reshaping and decentralizing industries, use of artificial intelligence techniques in business innovation, and optimizing the financing of ETs in industries, among others (Attaran and Gunasekaran 2019;Lee et al, 2019;Maganga and Taifa 2022). In addition, there are studies about how and where ETs can be used in industries (Zabel and Telkmann 2021;Mi et al, 2022;Zeng et al, 2022).…”