Quality 4.0: leveraging Industry 4.0 technologies to improve quality management practices – a systematic review

Abstract

PurposeQuality 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/approachA 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.FindingsThe 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/valueThis 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: big data analytics to explore service quality attributes and their relation to user sentiment in Airbnb reviews

“…More specifically, it exemplifies how quality management can benefit from analysing customer feedback using text mining techniques. According to Saihi et al (2021), most of the existing Quality 4.0 literature focusses on describing its potential benefits but requires further detail in terms of real applications through practical examples and case studies. For instance, a study by Antony et al (2021a, b, c) analysed previous research and found that implementing Quality 4.0 can have a positive impact on several business performance metrics.…”

“…Other researchers indicate that handling big data analytics is one of the key factors to achieve successful deployment of Quality 4.0 (Antony et al, 2021c;Sony et al, 2020). On the other hand, Saihi et al (2021) noted that the majority of studies emphasised the potential advantages of using advanced technology for quality control, whilst very few focussed on other quality management tools and methodologies. This study responds to previous research in two ways.…”

“…In order to manage quality in the era of the fourth industrial revolution, it is necessary to adapt to technological innovations and update traditional quality models (Saihi et al, 2021). As a response to these technological challenges and opportunities, a new paradigm of quality management has emerged, known as Quality 4.0 (Dias et al, 2021;Zonnenshain and Kenett, 2020).…”

“…Nowadays, industries worldwide are experiencing a fourth industrial revolution due to the widespread use of digital technologies. This environment presents several challenges and opportunities for quality management, which needs to transform to adapt to the new Quality 4.0 paradigm (Saihi et al, 2021). This new concept of quality emphasises the importance of incorporating technological innovations and data-driven solutions into quality management (Zonnenshain and Kenett, 2020).…”

Decision-Making under the Risk, Uncertainty and COVID-19 Pandemic Conditions Applying the PL9A Method of Logistics Planning—Case Study

“…In order to illustrate the logistic processes taking place in companies with a logistic business orientation, the logistic processes are presented in a phase approach in Figure 2. Considering the quality of the planning process and its relationship to production [60,61], it seems reasonable to isolate organizational units specializing in an integrated and process approach to processing information [3] and goods flow between the supply, production, and distribution phases. This can provide a needed innovation such as a restricted unit dealing with a well-defined set of tasks.…”