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Proceeding Paper

An Overview of the Transformation Towards Quality 4.0: Technological Needs, Challenges, and Benefits †

by
Anass Hafid
1,*,
Fatima Ezzahra Sebtaoui
2 and
Ahmed Mouchtachi
1
1
Structural Engineering, Processes, Intelligent and IT Systems, Hassan II University, Casablanca 20000, Morocco
2
Artificial Intelligence and Complex Systems Engineering, Hassan II University, Casablanca 20000, Morocco
*
Author to whom correspondence should be addressed.
†
Presented at the 7th edition of the International Conference on Advanced Technologies for Humanity (ICATH 2025), Kenitra, Morocco, 9–11 July 2025.
Eng. Proc. 2025, 112(1), 18; https://doi.org/10.3390/engproc2025112018
Published: 14 October 2025
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Abstract

Quality 4.0 is a new concept that integrates Industry 4.0 technologies into traditional quality management systems in order to reduce operational cost, time and improve efficiency. This article presents an overview of the transformation towards Quality 4.0 and reviews articles published in Scopus, ScienceDirect, and Web of Science in order to have accurate, up-to-date, and relevant information. This work focuses on the Industry 4.0 technologies applied in Quality management systems that can support the transformation to Quality 4.0, the challenges of these technologies can address, and the benefits of implementing Quality 4.0. The results analyze the critical benefits of implementing digital technologies, including operational efficiency and improved innovation. Practical cases and real-life experiences are discussed. Finally, we identified a quantitative matrix reflecting the frequency of specific technologies associated with particular quality challenges.

1. Introduction

In recent years, Industry 4.0 become a trend that industrial companies needed to follow [1,2,3]. However, in reality, Industry 4.0 offers significant advantages, as the introduction of this concept involves the use of digital technologies such as artificial intelligence, the Internet of Things, Big Data, cloud computing, and other technologies [4,5,6,7]. All of this allows companies to improve their productivity and performance by reducing management and control costs. This benefits parent companies through improved manufacturing and product quality, minimization of costs and time, and increased customer satisfaction.
Quality management is a field that can be improved by integrating these Industry 4.0 technologies [8]. The concept of Quality 4.0 involves integrating these Industry 4.0 technologies into traditional quality management systems [9]. This concept was introduced by Dan Jacob, who explained that Quality 4.0 merges new technologies with traditional quality approaches [10]. The use of visualization and conceptualization approaches has been recognized as crucial for understanding the complex elements of Quality 4.0 [11,12,13,14,15,16,17]. This concept extends beyond traditional quality management practices by incorporating digital tools and data analytics to proactively predict and address quality issues, streamline processes, and drive continuous improvement.
The objective of this work is to explore the transformation from traditional quality management systems to Quality 4.0 by analyzing its advantages and risks. It addresses the challenges, including high implementation costs, the complexity of integration, and the need for upskilling the workforce to manage advanced technologies. It includes the benefits of implementing 4.0 technology so that they can be leveraged without additional costs or difficulties, and it presents the technological needs required to take advantage of these benefits and minimize the challenges.
This article follows the IMRAD (Introduction, Methods, Results, Discussion) structure. It presents the methods of inclusion and exclusion criteria, data sources, and keywords related to Quality 4.0 and digital transformation. In Section 3, it analyzes the technological needs in QMS, the problems solved using these technologies, and their benefits. This article emphasizes the need to integrate Industry 4.0 technologies into quality management systems and proposes a roadmap for organizations that want to successfully transition to Quality 4.0.

2. Methodology

In this study, the literature on the transformation towards Quality 4.0 was reviewed systematically. The research examines information from peer-reviewed articles, conference papers, and industry reports. A keyword-based search strategy was employed to find the most relevant publication related to the transformation towards Quality 4.0 and the implementation of Quality 4.0. A review procedure aids in anticipating any possible issues, prevents arbitrary, decision-making on inclusion and exclusion criteria, and minimizes redundant efforts.
The first step in conducting this research was to formulate the research question that the article aims to solve. In the context of this specific article, the objective of this research is to provide information on the impacts of the transformation towards Quality 4.0, its benefits, challenges, and technological requirements.
The search was limited to articles published in Scopus, ScienceDirect, and Web of-Science in order to have accurate, up-to-date, and relevant information. In the table below (Table 1), you will find the information of the articles reviewed which relate to the subject.

2.1. Research Question

The second thing to do in an SLR is to develop research questions that the article should answer. In this article, the research questions should help to understand the use of Industry 4.0 technologies in quality management systems for the transformation to Quality 4.0. This review addresses the following specific research questions:
  • RQ1: What Industry 4.0 technologies are most frequently adopted in quality management systems?
  • RQ2: What are the main challenges encountered in implementing Quality 4.0?
  • RQ3: What benefits are associated with the adoption of Quality 4.0?
During the search process, a comprehensive strategy was used to find the most relevant literature on the transformation to Quality 4.0. The main term used was “Quality 4.0”, along with other relevant keywords to broaden the search scope and sort the literature for related articles. These included:
“Quality 4.0” OR “Intelligent Quality” OR “Smart Quality Management” OR “Quality Transformation” OR “Evolution of Quality Management”).

2.2. Study Selection

The application of the search string in the selected databases (Scopus, ScienceDirect, and Web of Science) generated a large number of publications. We then began the article filtering phase, based on the PRISMA methodology as described in Figure 1.
To be included in the final sample, each paper had to meet the objectives and requirements outlined in the first section. Specifically, the study had to present practical application cases rather than theoretical ones. It also had to deal with machine learning in the supply chain. The impact, whether positive or negative, was not considered as an inclusion criterion. The search resulted in 7682 publications that were filtered.
To ensure a comprehensive subjective systematic literature review (SLR) for this article, it was imperative to exclude studies that were not pertinent to our research objectives. To achieve this, we adhered to the PRISMA method. This method encompasses a set of reporting criteria designed for systematic review studies. It entails guidelines on various aspects, including the search process for relevant studies, criteria for inclusion and exclusion, assessment of the quality of included studies, and the presentation of results. By following the PRISMA method, we aimed to maintain a rigorous and transparent approach throughout our SLR.
Under the SLR methodology, we excluded any non-scientific work. We also deleted duplicate articles from multiple databases. These steps were taken to enhance the quality and relevance of the systematic review outcomes.
After the conclusion of this stage, the remaining articles proceeded to the quantitative evaluation phase.

3. Results

In this section, we present the technologies used for the transformation to Quality 4.0, the quality challenges, and the benefits obtained. Each point will be analyzed separately. Subsequently, we will consolidate these points into a table with references and the total number of articles addressing these topics.

3.1. Industry 4.0 Technologies Used in Quality Management Systems

Through the systematic analysis of the literature, it was found that the integration of Industry 4.0 technologies in quality management systems is of significant importance [18,19,20,21,22,23]. The results reveal a diverse landscape: some studies advocate for the isolated use of specific Industry 4.0 technologies, others support the synergistic integration of multiple technologies within quality management frameworks. Furthermore, some scientific contributions discuss the general concept of Industry 4.0 technologies without detailing specific implementations [24,25,26,27]. This variety of perspectives show the complexity of considerations surrounding the incorporation of smart technologies into quality management practices.
Advanced quality control methodologies, such as Six Sigma, Lean, Kaizen, and Total Quality Management (TQM), focus on reducing variability and defects, thereby improving product and service quality. The Internet of Things (IoT) and Industrial IoT (IIoT) enable real-time data collection from connected assets. Blockchain technology enhances transparency and traceability, thereby building trust and accountability [28,29,30,31,32,33,34]. Digital twin technology creates virtual replicas of physical assets or processes, enabling simulation, monitoring, and optimization of quality-related parameters in a virtual environment [35]. Additionally, artificial intelligence (AI) techniques, including machine learning and deep learning, support tasks automation, process optimization, and predictive analytics in quality management applications [36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68].
The main technologies and techniques used for improving quality management systems are categorized in the Table 2.

3.2. Quality 4.0 Challenges

Traditional QMSs, often reliant on paper-based records and manual inspections, struggle to keep pace with the dynamic, data-driven nature of Industry 4.0. To address these challenges and enhance quality performance, Industry 4.0 technologies offer a range of solutions.
Traditional QMSs often focus on inspection-based quality control, while Quality 4.0 emphasizes preventive measures, continuous improvement, and data-driven decision-making [53]. This shift requires redefining quality management principles and adapting practices to align with the dynamic nature of Industry 4.0.
Achieving quality excellence in Industry 4.0 requires a corporate culture that values quality at all levels. This involves empowering employees, fostering collaboration, and creating an environment for continuous learning.
In Table 3, you will find the major problems and the references of the articles which talk about these problems, and the corresponding frequencies.

3.3. Benefits of Implementing Quality 4.0

According to the analysis of scientific articles dealing with Quality 4.0, it was noted that there are four main benefits frequently associated with its implementation. The most frequently cited benefits include: improving quality performance, real-time tracking and traceability, and improved customer satisfaction and personalization.
The benefits of implementing Quality 4.0 arise from the use of digital technologies [54]. These technologies enable improved service, data traceability, and facilitate the transfer and sharing of data. Quality 4.0 has extensive applications in the manufacturing sector. Automating quality control processes reduces human error, improves efficiency, and minimizes operational costs. In addition, it ensures increased customer satisfaction through more consistent production and more responsive returns management [55,56,57,58,59]. The use of digital technologies and the implementation of Quality 4.0 reduce costs, which will lead to an improvement in the profit margins for companies.
Although Quality 4.0 has many benefits, such as improved decision-making and process automation, its implementation is not without challenges [60,61,62,63,64,65,66,67]. To succeed in this transformation, it is essential to have a deep knowledge of the technologies involved and previous experience in their application [68,69,70,71]. Table 4 shows the benefits of implementing Quality 4.0.

4. Discussion

The results presented provide insight into the most widely used Industry 4.0 technologies in quality management systems, such as the Internet of Things (IoT), artificial intelligence (AI), and Big Data. It also provides a classification of the problems and challenges that may arise during the transformation to Quality 4.0, such as value chain management, technology implementation, and data management. It also provides insight into the benefits of implementing technologies, such as real-time and improved customer satisfaction, and cost reduction. However, there is still a lack of information on the subject. Therefore, we present an analysis that links each Industry 4.0 technology with the specific quality management challenge it can solve. To achieve this, we conduct a quantitative analysis of the literature, which includes 71 articles. This analysis identifies competition for predefined keywords related to quality management challenges and Industry 4.0 technologies.
The keyword sets were carefully selected from the literature to represent key areas of Quality 4.0 transformation, including sustainability, data quality, organizational barriers, and advanced digital technologies such as artificial intelligence (AI), the Internet of Things (IoT), and augmented reality (AR).
The quantitative matrix shown in Figure 2 reflects the frequency of specific technologies associated with particular quality challenges. This allows for a heatmap visualization that provides meaningful and important insight into each technology’s ability to address each quality management challenge.

5. Conclusions

Quality 4.0 implementation represents a significant evolution in quality management. By integrating advanced digital technologies, organizations can realize substantial benefits such as improved product quality, cost reduction, and heightened customer satisfaction.
Although there are evident benefits behind the adoption of technology in industries, it is important to acknowledge the challenges and obstacles, including skills deficiencies and substantial financial investments.
Comprehension of these challenges and obstacles, particularly when examined from a global perspective and across many industries, can provide organizations with valuable insights to navigate their Quality 4.0 endeavors. Quality 4.0 holds indisputable potential to bring about revolutionary changes in several industries. Nevertheless, conducting a thorough and evidence-based investigation of the discipline, with specific attention to its obstacles and the significance of implicit knowledge, can enhance its beneficial influence on worldwide sectors.

Author Contributions

Conceptualization, A.H. and F.E.S.; methodology, A.H.; software, A.H.; validation, A.H., F.E.S. and A.M.; formal analysis, A.H.; investigation, A.H.; resources, F.E.S.; data curation, A.H.; writing—original draft preparation, A.H.; writing—review and editing, F.E.S. and A.M.; visualization, A.H.; supervision, A.M.; project administration, A.M.; funding acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

This research did not receive any external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

I would like to express my deep gratitude to all the people who contributed to the production of this research in industry 4.0 and its advantages on quality management systems. I would first like to thank my supervisor, Sebtaoui Fatima Ezzahra, for her valuable advice and continuous support throughout this project. His wise leadership and encouragement have been invaluable. I am also grateful to my chief supervisor, Mouchtachi Ahmed, for his valuable expertise and constructive comments. His contributions have significantly improved the quality of this article.

Conflicts of Interest

The authors declare that there are no potential conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
QMSsQuality management systems
PRISMAPreferred reporting items for systematic reviews and meta-analyses
SLRSystematic literature review

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Figure 1. PRISMA flowchart of the study selection and inclusion process.
Figure 1. PRISMA flowchart of the study selection and inclusion process.
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Figure 2. Heatmap showing the relationship between quality challenges and Industry 4.0 technologies.
Figure 2. Heatmap showing the relationship between quality challenges and Industry 4.0 technologies.
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Table 1. The main studies included in the systematic literature review.
Table 1. The main studies included in the systematic literature review.
Databases of DocumentsScopus, ScienceDirect, and Web of Science
MethodologyData qualitative analysis, systematic literature review, maturity model, conceptual framework, comprehensive literature review, survey-based study, and case study.
Total number of documents evaluated71
Table 2. Frequency of Industry 4.0 technologies used in QMS.
Table 2. Frequency of Industry 4.0 technologies used in QMS.
Used TechnologiesReferenceTotal
IOT and IIOT[7,9,11,12,16,19,23,29,31,36,42,44,53,57,58,69]16
AI[8,10,12,13,17,24,25,26,27,31]10
Big Data[8,19,26,30,31,50,69]7
AR technology[55,70,71]3
Machine learning[16,46,64]3
Cloud computing[8,12,31]3
Data mining[3,6]2
Digital twins[15,50]2
Blockchain technology (BCT)[7,20]2
Robotics[31]1
Table 3. Frequency of Quality 4.0 challenges.
Table 3. Frequency of Quality 4.0 challenges.
Quality 4.0 ChallengesReferenceTotal
Manufacturing & Supply Chains:
Enhancing Supply Chain Visibility and Traceability
Optimizing Quality Control in Distributed Manufacturing
Managing Quality in Complex Manufacturing Processes
Addressing Sustainability Considerations in Quality Management		[3,4,6,7,10,21,34]7
Technology Implementation:
Overcoming Technological Barriers Addressing Organizational Challenges Addressing Financial Constraints
Addressing Cybersecurity Risks		[16,17,41,42,43,44]6
Data Management:
Ensuring Data Security and Privacy Maintaining Data Quality and Integrity Enabling Real-time Data Processing and Analytics
Leveraging Data for Predictive Quality Management		[1,11,15,19,36]5
Quality 4.0 Implementation:
Redefining Quality Management Principles
Fostering a Quality 4.0 Culture
Integrating Quality 4.0 into Existing Systems
Measuring and Evaluating Quality 4.0 Performance		[13,23,24,25]4
Table 4. Benefits of Quality 4.0 implementation.
Table 4. Benefits of Quality 4.0 implementation.
Benefits of Quality 4.0 ImplementationReferenceTotal
Improving quality performance[53,54,55,56,57,58]6
Real-time tracking and traceability[59,60,61,62,63]5
Improved customer satisfaction and personalization[64,65,66,67,68]5
Reduction in quality-related costs[69,70,71]4
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Hafid, A.; Sebtaoui, F.E.; Mouchtachi, A. An Overview of the Transformation Towards Quality 4.0: Technological Needs, Challenges, and Benefits. Eng. Proc. 2025, 112, 18. https://doi.org/10.3390/engproc2025112018

AMA Style

Hafid A, Sebtaoui FE, Mouchtachi A. An Overview of the Transformation Towards Quality 4.0: Technological Needs, Challenges, and Benefits. Engineering Proceedings. 2025; 112(1):18. https://doi.org/10.3390/engproc2025112018

Chicago/Turabian Style

Hafid, Anass, Fatima Ezzahra Sebtaoui, and Ahmed Mouchtachi. 2025. "An Overview of the Transformation Towards Quality 4.0: Technological Needs, Challenges, and Benefits" Engineering Proceedings 112, no. 1: 18. https://doi.org/10.3390/engproc2025112018

APA Style

Hafid, A., Sebtaoui, F. E., & Mouchtachi, A. (2025). An Overview of the Transformation Towards Quality 4.0: Technological Needs, Challenges, and Benefits. Engineering Proceedings, 112(1), 18. https://doi.org/10.3390/engproc2025112018

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