To read this content please select one of the options below:

Please note you do not have access to teaching notes, quality 4.0: leveraging industry 4.0 technologies to improve quality management practices – a systematic review.

International Journal of Quality & Reliability Management

ISSN : 0265-671X

Article publication date: 24 December 2021

Issue publication date: 25 January 2023

Quality 4.0 is an emerging research topic concerned with rethinking how quality management needs to be adopted in the digital era. The purpose of this research is to conduct a systematic review on the state of the research in the field of Industry 4.0 impact on improving quality management aspects and how technology can be leveraged to enhance its practices.

Design/methodology/approach

A systematic review of the literature published in the last 5 years is conducted. 52 papers were selected, mapped based on the technology they focused on and categorized based on the addressed quality aspects.

The review revealed various areas where quality management can benefit from Industry 4.0 technologies, identified several research gaps and suggested new directions for future research. Firstly, the literature provided some insights about industry 4.0 potential contributions but lacks further detail on the exact applications and solutions through use cases and case studies. Secondly, there has been a focus on the potential benefits provided for quality control while there is a clear scarcity in terms of the other quality management tools and methodologies. Thirdly, there is a lack of studies on economic analysis or detailed impacts on quality costs that justifies the substantial investments needed. Finally, there is a need for including more studies about the mapping and integration of ISO 9001 requirements and Industry 4.0 features.

Originality/value

This is the first attempt to conduct a comprehensive review on the ways industry 4.0 technologies can be leveraged for the field of quality management. Based on this review, several directions for further research in this area are identified.

  • Quality 4.0
  • Industry 4.0
  • Quality management
  • Internet of things
  • Machine learning
  • Quality control
  • Predictive quality
  • Decision making

Saihi, A. , Awad, M. and Ben-Daya, M. (2023), "Quality 4.0: leveraging Industry 4.0 technologies to improve quality management practices – a systematic review", International Journal of Quality & Reliability Management , Vol. 40 No. 2, pp. 628-650. https://doi.org/10.1108/IJQRM-09-2021-0305

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles

We’re listening — tell us what you think, something didn’t work….

Report bugs here

All feedback is valuable

Please share your general feedback

Join us on our journey

Platform update page.

Visit emeraldpublishing.com/platformupdate to discover the latest news and updates

Questions & More Information

Answers to the most commonly asked questions here

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

  • Review Article
  • Open access
  • Published: 13 March 2023
  • Volume 10 , pages 191–205, ( 2023 )

Cite this article

You have full access to this open access article

  • Hu-Chen Liu 1 ,
  • Ran Liu 1 ,
  • Xiuzhu Gu 2 &
  • Miying Yang 3  

2606 Accesses

9 Citations

Explore all metrics

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.

Article PDF

Download to read the full article text

Similar content being viewed by others

quality 4 0 case study

Study and Review of Quality 4.0 in the Industry

quality 4 0 case study

Illustrating the Development of Quality Management Instrumentation: A Systematic Literature Review

quality 4 0 case study

Industry 4.0: critical investigations and synthesis of key findings

Moustafa Elnadi & Yasser Omar Abdallah

Avoid common mistakes on your manuscript.

Ali K, Johl S K (2022). Soft and hard TQM practices: Future research agenda for Industry 4.0. Total Quality Management & Business Excellence, 33(13–14): 1625–1655

Article   Google Scholar  

Alzahrani B, Bahaitham H, Andejany M, Elshennawy A (2021). How ready is higher education for Quality 4.0 transformation according to the LNS research framework? Sustainability, 13(9): 5169

Antony J, McDermott O, Sony M (2022a). Quality 4.0 conceptualisation and theoretical understanding: A global exploratory qualitative study. TQM Journal, 34(5): 1169–1188

Antony J, Sony M, Furterer S, McDermott O, Pepper M (2022b). Quality 4.0 and its impact on organizational performance: An integrative viewpoint. TQM Journal, 34(6): 2069–2084

Antony J, Sony M, McDermott O, Jayaraman R, Flynn D (2023). An exploration of organizational readiness factors for Quality 4.0: An intercontinental study and future research directions. International Journal of Quality & Reliability Management, 40(2): 582–606

Asif M (2020). Are QM models aligned with Industry 4.0? A perspective on current practices. Journal of Cleaner Production, 258: 120820

Balouei Jamkhaneh H, Shahin A, Parkouhi S V, Shahin R (2022). The new concept of quality in the digital era: A human resource empowerment perspective. TQM Journal, 34(1): 125–144

Baran E, Korkusuz Polat T (2022). Classification of Industry 4.0 for total quality management: A review. Sustainability, 14(6): 3329

Broday E E (2022). The evolution of quality: From inspection to Quality 4.0. International Journal of Quality and Service Sciences, 14(3): 368–382

Bui L T C, Carvalho M, Pham H T, Nguyen T T B, Duong A T B, Truong Quang H (2022). Supply chain quality management 4.0: Conceptual and maturity frameworks. International Journal of Quality & Reliability Management, in press, doi: https://doi.org/10.1108/IJQRM-07-2021-0251

Chiarini A (2020). Industry 4.0, quality management and TQM world: A systematic literature review and a proposed agenda for further research. TQM Journal, 32(4): 603–616

Chiarini A, Kumar M (2022). What is Quality 4.0? An exploratory sequential mixed methods study of Italian manufacturing companies. International Journal of Production Research, 60(16): 4890–4910

Christou I T, Kefalakis N, Soldatos J K, Despotopoulou A M (2022). End-to-end industrial IoT platform for Quality 4.0 applications. Computers in Industry, 137: 103591

Clancy R, Bruton K, O’Sullivan D T J, Cloonan A J (2022). The HyDAPI framework: A versatile tool integrating Lean Six Sigma and digitalisation for improved quality management in Industry 4.0. International Journal of Lean Six Sigma, in press, doi: https://doi.org/10.1108/IJLSS-12-2021-0214

Di Vaio A, Hassan R, Alavoine C (2022). Data intelligence and analytics: A bibliometric analysis of human-artificial intelligence in public sector decision-making effectiveness. Technological Forecasting and Social Change, 174: 121201

Dias A M, Carvalho A M, Sampaio P (2022). Quality 4.0: Literature review analysis, definition and impacts of the digital transformation process on quality. International Journal of Quality & Reliability Management, 39(6): 1312–1335

Elibal K, Özceylan E (2022). Comparing Industry 4.0 maturity models in the perspective of TQM principles using Fuzzy MCDM methods. Technological Forecasting and Social Change, 175: 121379

Emblemsvåg J (2020). On Quality 4.0 in project-based industries. TQM Journal, 32(4): 725–739

Escobar C A, McGovern M E, Morales-Menendez R (2021). Quality 4.0: A review of big data challenges in manufacturing. Journal of Intelligent Manufacturing, 32(8): 2319–2334

Fonseca L, Amaral A, Oliveira J (2021). Quality 4.0: The EFQM 2020 model and Industry 4.0 relationships and implications. Sustainability, 13(6): 3107

Gebhardt M, Kopyto M, Birkel H, Hartmann E (2022). Industry 4.0 technologies as enablers of collaboration in circular supply chains: A systematic literature review. International Journal of Production Research, 60(23): 6967–6995

Glogovac M, Ruso J, Maricic M (2022). ISO 9004 maturity model for quality in Industry 4.0. Total Quality Management & Business Excellence, 33(5–6): 529–547

Hyun Park S, Seon Shin W, Hyun Park Y, Lee Y (2017). Building a new culture for quality management in the era of the Fourth Industrial Revolution. Total Quality Management & Business Excellence, 28(9–10): 934–945

Jacob D (2017). What is Quality 4.0? Online Blog

Kannan K S P N, Garad A (2021). Competencies of quality professionals in the era of Industry 4.0: A case study of electronics manufacturer from Malaysia. International Journal of Quality & Reliability Management, 38(3): 839–871

Maganga D P, Taifa I W R (2022). Quality 4.0 transition framework for Tanzanian manufacturing industries. TQM Journal, in press, doi: https://doi.org/10.1108/TQM-01-2022-0036

Maganga D P, Taifa I W R (2023). Quality 4.0 conceptualisation: An emerging quality management concept for manufacturing industries. TQM Journal, 35(2): 389–413

Nenadál J, Vykydal D, Halfarová P, Tylečková E (2022). Quality 4.0 maturity assessment in light of the current situation in the Czech Republic. Sustainability, 14(12): 7519

Prashar A (2022). Quality management in Industry 4.0 environment: A morphological analysis and research agenda. International Journal of Quality & Reliability Management, in press, doi: 10.1108/IJQRM-10-2021-0348

Ramezani J, Jassbi J (2020). Quality 4.0 in action: Smart hybrid fault diagnosis system in plaster production. Processes, 8(6): 634

Ranjith Kumar R, Ganesh L S, Rajendran C (2022). Quality 4.0: A review of and framework for quality management in the digital era. International Journal of Quality & Reliability Management, 39(6): 1385–1411

Sader S, Husti I, Daróczi M (2019). Industry 4.0 as a key enabler toward successful implementation of total quality management practices. Periodica Polytechnica Social and Management Sciences, 27(2): 131–140

Sader S, Husti I, Daroczi M (2022). A review of Quality 4.0: Definitions, features, technologies, applications, and challenges. Total Quality Management & Business Excellence, 33(9–10): 1164–1182

Saihi A, Awad M, Ben-Daya M (2023). Quality 4.0: Leveraging Industry 4.0 technologies to improve quality management practices, a systematic review. International Journal of Quality & Reliability Management, 40(2): 628–650

Santos G, Sá J C, Félix M J, Barreto L, Carvalho F, Doiro M, Zgodavová K, Stefanović M (2021). New needed quality management skills for quality managers 4.0. Sustainability, 13(11): 6149

Sariyer G, Mangla S K, Kazancoglu Y, Ocal Tasar C, Luthra S (2021). Data analytics for quality management in Industry 4.0 from an MSME perspective. Annals of Operations Research, in press, doi: https://doi.org/10.1007/s10479-021-04215-9

Silva C S, Borges A F, Magano J (2022). Quality Control 4.0: A way to improve the quality performance and engage shop floor operators. International Journal of Quality & Reliability Management, 39(6): 1471–1487

Singh J, Ahuja I P S, Singh H, Singh A (2022). Development and implementation of Autonomous Quality Management System (AQMS) in an automotive manufacturing using Quality 4.0 concept: A case study. Computers & Industrial Engineering, 168: 108121

Sony M, Antony J, Douglas J A (2020). Essential ingredients for the implementation of Quality 4.0: A narrative review of literature and future directions for research. TQM Journal, 32(4): 779–793

Sony M, Antony J, Douglas J A, McDermott O (2021). Motivations, barriers and readiness factors for Quality 4.0 implementation: An exploratory study. TQM Journal, 33(6): 1502–1515

Souza F F, Corsi A, Pagani R N, Balbinotti G, Kovaleski J L (2022). Total quality management 4.0: Adapting quality management to Industry 4.0. TQM Journal, 34(4): 749–769

Sozinova A A, Saveleva N K (2022). Marketing quality management in Industry 4.0 in transborder markets. International Journal of Qualitative Research, 16(3): 955–968

Sureshchandar G S (2022). Quality 4.0: Understanding the criticality of the dimensions using the analytic hierarchy process (AHP) technique. International Journal of Quality & Reliability Management, 39(6): 1336–1367

Sureshchandar G S (2023). Quality 4.0: A measurement model using the confirmatory factor analysis (CFA) approach. International Journal of Quality & Reliability Management, 40(1): 280–303

Tambare P, Meshram C, Lee C C, Ramteke R J, Imoize A L (2022). Performance measurement system and quality management in data-driven Industry 4.0: A review. Sensors, 22(1): 224

Tan T, Mills G, Papadonikolaki E, Liu Z (2021). Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review. Automation in Construction, 121: 103451

Thekkoote R (2022). Enabler toward successful implementation of Quality 4.0 in digital transformation era: A comprehensive review and future research agenda. International Journal of Quality & Reliability Management, 39(6): 1368–1384

Yadav N, Shankar R, Singh S P (2021). Critical success factors for Lean Six Sigma in Quality 4.0. International Journal of Quality and Service Sciences, 13(1): 123–156

Zheng T, Ardolino M, Bacchetti A, Perona M (2021). The applications of Industry 4.0 technologies in manufacturing context: A systematic literature review. International Journal of Production Research, 59(6): 1922–1954

Zonnenshain A, Kenett R S (2020). Quality 4.0: The challenging future of quality engineering. Quality Engineering, 32(4): 614–626

Download references

Author information

Authors and affiliations.

School of Economics and Management, Tongji University, Shanghai, 200092, China

Hu-Chen Liu & Ran Liu

Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Tokyo, 152-8552, Japan

Group of Sustainability, School of Management, Cranfield University, Cranfield, MK43 0AL, UK

Miying Yang

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Ran Liu .

Additional information

This work was partially supported by the major project of National Social Science Fund of China (Grant No. 21ZDA024).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Liu, HC., Liu, R., Gu, X. et al. From total quality management to Quality 4.0: A systematic literature review and future research agenda. Front. Eng. Manag. 10 , 191–205 (2023). https://doi.org/10.1007/s42524-022-0243-z

Download citation

Received : 31 July 2022

Accepted : 01 November 2022

Published : 13 March 2023

Issue Date : June 2023

DOI : https://doi.org/10.1007/s42524-022-0243-z

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • quality management
  • Quality 4.0
  • Industry 4.0
  • literature review
  • predictive quality

Advertisement

  • Find a journal
  • Publish with us
  • Track your research

IMAGES

  1. 11 Pillars: Quality 4.0 Framework

    quality 4 0 case study

  2. What is Quality 4.0?

    quality 4 0 case study

  3. (PDF) Quality 4.0 -How to Handle Quality in the Industry 4.0 Revolution

    quality 4 0 case study

  4. How to transition into Quality 4.0

    quality 4 0 case study

  5. All About Quality 4.0

    quality 4 0 case study

  6. The Future of Quality: Quality 4.0

    quality 4 0 case study

VIDEO

  1. From Quality 4.0 to 5.0

  2. #Toyota_Way to #lean #leadership

  3. Quality 4.0

  4. PLUS TWO ECONOMICS

  5. Quality 4.0

  6. This City is Living in The Future #shorts

COMMENTS

  1. Quality 4.0 Takes More than Technology

    Quality 4.0 is about much more than technology. It is a new way of managing quality in which digital tools enhance the organization’s ability to consistently give customers high-performing products. As our study demonstrates, Quality 4.0 in no way diminishes the role of people in assuring quality.

  2. Quality 4.0: leveraging Industry 4.0 technologies to improve

    Firstly, the literature provided some insights about industry 4.0 potential contributions but lacks further detail on the exact applications and solutions through use cases and case studies. Secondly, there has been a focus on the potential benefits provided for quality control while there is a clear scarcity in terms of the other quality ...

  3. From total quality management to Quality 4.0: A systematic

    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 ...