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

doi:10.1007/s42524-022-0243-z

Front. Eng

2023, Vol. 10

Issue (2) : 191-205 https://doi.org/10.1007/s42524-022-0243-z

Industrial Engineering and Intelligent Manufacturing

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

Hu-Chen LIU¹, Ran LIU¹(

), Xiuzhu GU², Miying YANG³

¹. School of Economics and Management, Tongji University, Shanghai 200092, China
². Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Tokyo 152-8552, Japan
³. Group of Sustainability, School of Management, Cranfield University, Cranfield, MK43 0AL, UK

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Abstract

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.

Keywords quality management Quality 4.0 Industry 4.0 literature review predictive quality

Corresponding Author(s): Ran LIU

Just Accepted Date: 14 February 2023 Online First Date: 13 March 2023 Issue Date: 29 May 2023

Cite this article:

Hu-Chen LIU,Ran LIU,Xiuzhu GU, et al. From total quality management to Quality 4.0: A systematic literature review and future research agenda[J]. Front. Eng, 2023, 10(2): 191-205.

URL:

https://academic.hep.com.cn/fem/EN/10.1007/s42524-022-0243-z
https://academic.hep.com.cn/fem/EN/Y2023/V10/I2/191

Fig.1 Illustration of Quality 4.0.

Fig.2 Schema of systematic literature review.

Fig.3 Annual production of research articles.

Fig.4 Number of publications per journal.

Fig.5 Research methods used in the reviewed documents.

Paper	Research purpose	Contribution
Souza et al. (2022)	To explore the new concept of TQM 4.0 as a way of adapting quality management in Industry 4.0	An ecosystem for TQM 4.0 was built by integrating technology, quality, and people in the industrial scenario
Chiarini and Kumar (2022)	To explore the main theoretical themes underpinning the Quality 4.0 model	Eleven themes across three categories of people, process, and technology were revealed, and a theoretical model for Quality 4.0 was proposed
Ranjith Kumar et al. (2022)	To provide a conceptual framework for quality in the digital transformation context	A holistic conceptual framework of Quality 4.0, including people, process, and technology, was developed
Sader et al. (2022)	To define Quality 4.0 and its related features, technologies, applications, and challenges	Quality 4.0 is the new generation and evolution of quality management
Dias et al. (2022)	To understand the definition and impacts of the digital transformation process on quality	An overview of the main topics and directions for quality management in digital transformation was offered
Antony et al. (2022a)	To understand Quality 4.0 from a practitioner’s viewpoint	Various aspects of Quality 4.0 in terms of motivations, benefits, challenges, and readiness were determined
Hyun Park et al. (2017)	To build a new culture for quality management in the era of Industry 4.0	New concepts of quality and quality management in Industry 4.0 were proposed
Broday (2022)	To investigate how quality concepts are being evolved from inspection to Quality 4.0	The main characteristics of the studies on the subject of Quality 4.0 were verified
Sureshchandar (2022)	To identify and understand the critical dimensions of Quality 4.0	Twelve axes of Quality 4.0 were identified and prioritized using the analytic hierarchy process method
Maganga and Taifa (2023)	To explore the current understanding of Quality 4.0 in manufacturing industries	Quality 4.0 concepts were reviewed bibliometrically and scientometrically

Tab.1 The studies on the Quality 4.0 concept

Paper	Research purpose	Contribution
Sony et al. (2020)	To investigate the key ingredients for the effective implementation of Quality 4.0	Eight key ingredients for the effective implementation of Quality 4.0 were revealed
Sony et al. (2021)	To investigate the motivations, barriers and readiness factors for Quality 4.0 implementation	The top five motivations and barriers and readiness factors for Quality 4.0 implementation were found
Antony et al. (2023)	To examine the organizational readiness factors for the successful implementation of Quality 4.0	The pros, cons and readiness factors for implementing Quality 4.0 were identified
Thekkoote (2022)	To examine the vital elements for the Quality 4.0 implementation in the digital transformation era	Ten factors that contributed to the successful implementation of Quality 4.0 were identified
Ali and Johl (2022)	To examine the connection of TQM with Industry 4.0	Four soft dimensions and three hard dimensions were revealed to implement Quality 4.0 effectively
Sureshchandar (2023)	To design a measurement instrument to measure the degree of Quality 4.0 implementation	A measurement instrument model was formulated and checked using the confirmatory factor analysis
Yadav et al. (2021)	To identify critical success factors for Lean Six Sigma when implemented using Quality 4.0 technologies	Twenty factors were evaluated for Lean Six Sigma success
Escobar et al. (2021)	To investigate the big data challenges in manufacturing to implement Quality 4.0 successfully	A seven-step problem-solving strategy for the Quality 4.0 initiative was introduced
Balouei Jamkhaneh et al. (2022)	To identify the drivers of human resource empowerment in understanding Quality 4.0	Twenty-nine Quality 4.0 drivers of readiness and workforce ability were identified
Nenadál et al. (2022)	To present a framework to assess the maturity level for implementing Quality 4.0	A Quality 4.0 assessment model comprising four main dimensions and 22 partial items was developed
Maganga and Taifa (2022)	To develop a transition framework from traditional quality approaches to Quality 4.0	A Quality 4.0 transition framework based on the people-process-technology method was proposed

Tab.2 The studies on Quality 4.0 implementation

Paper	Research purpose	Contribution
Glogovac et al. (2022)	To investigate the usability of the ISO 9004:2018 maturity model in the context of Quality 4.0	The ISO 9004:2018 model was used to assess an organization’s Quality 4.0 maturity level
Fonseca et al. (2021)	To analyze EFQM 2020 model’s novelties and its relationships and implications with Industry 4.0	Several linkages between EFQM 2020 model and Industry 4.0 have been identified at the criteria level and guidance points
Elibal and ?zceylan (2022)	To conduct a comparison for Industry 4.0 maturity models based on TQM principles	Four Industry 4.0 maturity models have been evaluated using a decision-making method from the perspective of business practice
Asif (2020)	To evaluate the alignment of quality management models with Industry 4.0	Quality management models were not aligned with Industry 4.0; advances in Industry 4.0 have outpaced quality management models
Saihi et al. (2023)	To explore the impact of Industry 4.0 on improving quality management practices	The findings showed that Industry 4.0 technologies could be leveraged to improve quality management practices at different levels
Chiarini (2020)	To analyze the relationships between Industry 4.0, quality management, and TQM	Four categories of topics related to Quality 4.0 were identified
Bui et al. (2022)	To provide new insights and a collective perspective for supply chain quality management 4.0	A supply chain quality management 4.0 framework and evolutionary perspective were proposed
Kannan and Garad (2021)	To determine the skills and competence of quality professionals required to adapt to Industry 4.0	Technical, methodological, social, and personal competencies required were identified for quality professionals in the era of Industry 4.0
Santos et al. (2021)	To investigate the needed quality management skills for quality managers in Industry 4.0	Quality 4.0 professionals should have creative thinking, be leaders, know how to communicate, work as a team, and have knowledge of new technologies
Silva et al. (2022)	To investigate how smart technologies and human factors contribute to employees’ involvement and improve quality control	Seven key elements for the integration of information technologies in quality control to improve quality performance were identified
Antony et al. (2022b)	To analyze the potential impact of Quality 4.0 on organizational performance	Quality 4.0 impacts financial performance, customer value proposition, internal business processes, learning and growth, environmental performance, and social performance
Tambare et al. (2022)	To understand the main techniques to measure performance and manage the quality in Industry 4.0	The industrial standards and key performance indicators used for assessing the performance and quality in Industry 4.0 were discussed
Prashar (2022)	To develop an organizing framework for quality management in Industry 4.0	A morphological analysis framework with six dimensions was presented
Clancy et al. (2022)	To provide a framework for improving quality management in Industry 4.0	A hybrid digitization approach to process improvement framework based on Lean Six Sigma was presented

Tab.3 The studies on quality management in Quality 4.0

Paper	Research purpose	Contribution
Zonnenshain and Kenett (2020)	To present a framework for the quality discipline supporting Industry 4.0	Future directions for quality and reliability engineering that leverage opportunities from Industry 4.0 were discussed
Sader et al. (2019)	To discuss the role of Industry 4.0 in developing TQM practices	A theoretical framework for integrating Industry 4.0 features with the TQM principles was proposed
Baran and Korkusuz Polat (2022)	To conduct a classification study by considering Industry 4.0 in terms of TQM	The quality in Industry 4.0 and the relationship between quality and Industry 4.0 technologies were analyzed
Sariyer et al. (2021)	To propose a model implementing big data analytics technologies for quality management in Industry 4.0	A multi-stage model was proposed to detect defects, predict re-work quantities, and identify root causes
Ramezani and Jassbi (2020)	To propose a smart fault diagnosis model for dealing with control chart patterns	A hybrid fault diagnosis system was proposed using neural networks and an expert system
Alzahrani et al. (2021)	To assess the environments of higher education institutions against a Quality 4.0 framework	Insights about the readiness of higher education institutions for Quality 4.0 transformation were provided
Singh et al. (2022)	To use the Quality 4.0 concept to digitalize the autonomous quality management system (AQMS) in automotive manufacturing	The AQMS has improved the mean process capability and performance indices
Sozinova and Saveleva (2022)	To investigate the marketing quality management in Industry 4.0 in transborder markets	The marketing quality management features in transborder markets have been summarized
Emblemsv?g (2020)	To discuss some of the critical aspects of project-based industries concerning Quality 4.0	Contractors can utilize Quality 4.0 and make a change in the contracting regime
Christou et al. (2022)	To present an end-to-end industrial platform for Quality 4.0 applications	A digital platform for quality management and predictive maintenance was introduced

Tab.4 The studies on the Quality 4.0 model and application

Fig.6 The four-dimension Quality 4.0 framework.

Fig.7 Quality 4.0 integrated management system.

Fig.8 Quality 4.0 curve.

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22	M Glogovac, J Ruso, M Maricic, (2022). ISO 9004 maturity model for quality in Industry 4.0. Total Quality Management & Business Excellence, 33( 5‒6): 529–547 https://doi.org/10.1080/14783363.2020.1865793
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30	J Ramezani, J Jassbi, (2020). Quality 4.0 in action: Smart hybrid fault diagnosis system in plaster production. Processes, 8( 6): 634 https://doi.org/10.3390/pr8060634
31	R Ranjith Kumar, L S Ganesh, C Rajendran, (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 https://doi.org/10.1108/IJQRM-05-2021-0150
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33	S Sader, I Husti, M Daroczi, (2022). A review of Quality 4.0: Definitions, features, technologies, applications, and challenges. Total Quality Management & Business Excellence, 33( 9‒10): 1164–1182 https://doi.org/10.1080/14783363.2021.1944082
34	A Saihi, M Awad, M Ben-Daya, (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 https://doi.org/10.1108/IJQRM-09-2021-0305
35	G Santos, J C Sá, M J Félix, L Barreto, F Carvalho, M Doiro, K Zgodavová, M Stefanović, (2021). New needed quality management skills for quality managers 4.0. Sustainability, 13( 11): 6149 https://doi.org/10.3390/su13116149
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38	J Singh, I P S Ahuja, H Singh, A Singh, (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 https://doi.org/10.1016/j.cie.2022.108121
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