Quality 4.0 Maturity Assessment in Light of the Current Situation in the Czech Republic

Nenadál, Jaroslav; Vykydal, David; Halfarová, Petra; Tylečková, Eva

doi:10.3390/su14127519

Cited by 13 publications

(7 citation statements)

References 51 publications

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“…Real-time data capture and analytics, connectivity to multiple data sources and scalability by partnering with collaborators are some of the technology-related capabilities desired for the Quality 4.0 transition. Similarly, Nenadál et al . (2022) (based on European Foundation Quality Medal or EFQM guidelines), Glogovac et al .…”

Section: Literature Reviewmentioning

confidence: 69%

“…Other people-level competencies for supporting QM digitalisation include analytical, statistical and digital skills (Ponsignon et al, 2019). At process-level, the capabilities desired are vertical/horizontal or end-to-end process integration through the cyber-physical system (CPS) and enterprise quality management systems (EQMS) (Nenad al et al, 2022). Real-time data capture and analytics, connectivity to multiple data sources and scalability by partnering with collaborators are some of the technology-related capabilities desired for the Quality 4.…”

Section: I40-driven Digitalisation and Its Maturitymentioning

confidence: 99%

“…Other people-level competencies for supporting QM digitalisation include analytical, statistical and digital skills (Ponsignon et al ., 2019). At process-level, the capabilities desired are vertical/horizontal or end-to-end process integration through the cyber-physical system (CPS) and enterprise quality management systems (EQMS) (Nenadál et al. , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

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Towards digitalisation of quality management: conceptual framework and case study of auto-component manufacturer

Prashar

2023

TQM

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PurposeIndustry 4.0-driven digitalisation is said to offer a way to redesign traditional compliance-oriented quality management (QM) models. However, despite a rising academic and practitioner interest, it is still unclear how companies transform their current QM models to meet the real-time needs of the new manufacturing paradigm. The purpose of this study is to explore practices for the digitalisation of QM and to uncover the digitalisation journey.Design/methodology/approachAn exploratory research approach of an embedded case study of a multinational auto-component manufacturer was adopted to achieve the research aim.FindingsA guiding framework called the “Quality 4.0 transition framework” was developed based on literature and expert knowledge. The framework is made up of three building blocks, i.e. the foundation of “as-is” digitalisation maturity assessment; pillars representing horizontally and vertically integrated QM processes, and roof signifying reinforcement of total quality management (TQM) principles at all levels.Originality/valueThe study provides empirical evidence of the case company's digitalisation journey to avert product recall due to field failure issues. The study contributes to theory and practice in many ways. First, the study uses empirical data from a real-world case to understand how digitalisation affects QM processes. Next, the guiding framework for the Quality 4.0 transition adds to the existing literature on the digitalisation of business processes.

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Section: Literature Reviewmentioning

confidence: 69%

Section: I40-driven Digitalisation and Its Maturitymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Towards digitalisation of quality management: conceptual framework and case study of auto-component manufacturer

Prashar

2023

TQM

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

“…The literature analysis revealed a significant knowledge gap in the Q4.0 sector. The literature recommends validating the reciprocal link between the dimensions and items of Q4.0 and the sustainable growth of enterprises or society, one of the highlighted research gaps (Nenad al et al, 2022). Sustainable growth can be achieved when an organization knows the critical failure factors (CFFs) and how quality standards are linked to quality initiatives (Bhat et al, 2023;Sreedharan et al, 2018).…”

mentioning

confidence: 99%

Critical failure factors for Quality 4.0: an exploratory qualitative study

Antony,

Kaul,

Bhat

et al. 2023

IJQRM

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PurposeThis study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured.Design/methodology/approachA qualitative study based on in-depth interviews with quality managers and executives was conducted to establish the CFFs for Q4.0.FindingsThe significant CFFs highlighted were resistance to change and a lack of understanding of the concept of Q4.0. There was also a complete lack of access to or availability of training around Q4.0.Research limitations/implicationsThe study enhances the body of literature on Q4.0 and is one of the first research studies to provide insight into the CFFs of Q4.0.Practical implicationsBased on the discussions with experts in the area of quality in various large and small organizations, one can understand the types of Q4.0 initiatives and the CFFs of Q4.0. By identifying the CFFs, one can establish the steps for improvements for organizations worldwide if they want to implement Q4.0 in the future on the competitive global stage.Originality/valueThe concept of Q4.0 is at the very nascent stage, and thus, the CFFs have not been found in the extant literature. As a result, the article aids businesses in understanding possible problems that might derail their Q4.0 activities.

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From total quality management to Quality 4.0: A systematic literature review and future research agenda

Liu

et al. 2023

Front. Eng. Manag.

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Quality 4.0 is an emerging concept that has been increasingly appreciated because of the intensification of competition, continually changing customer requirements and technological evolution. It deals with aligning quality management practices with the emergent capabilities of Industry 4.0 to improve cost, time, and efficiency and increase product quality. This article aims to comprehensively review extant studies related to Quality 4.0 to uncover current research trends, distil key research topics, and identify areas for future research. Thus, 46 journal articles extracted from the Scopus database from 2017 to 2022 were collected and reviewed. A descriptive analysis was first performed according to the year-wise publication, sources of publication, and research methods. Then, the selected articles were analyzed and classified according to four research themes: Quality 4.0 concept, Quality 4.0 implementation, quality management in Quality 4.0, and Quality 4.0 model and application. By extracting the literature review findings, we identify the Quality 4.0 definitions and features, develop the quality curve theory, and highlight future research opportunities. This study supports practitioners, managers, and academicians in effectively recognizing and applying Quality 4.0 to enhance customer satisfaction, achieve innovation enterprise efficiency, and increase organizational competitiveness in the era of Industry 4.0.

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Quality 4.0 Maturity Assessment in Light of the Current Situation in the Czech Republic

Cited by 13 publications

References 51 publications

Towards digitalisation of quality management: conceptual framework and case study of auto-component manufacturer

Towards digitalisation of quality management: conceptual framework and case study of auto-component manufacturer

Critical failure factors for Quality 4.0: an exploratory qualitative study

From total quality management to Quality 4.0: A systematic literature review and future research agenda

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