Quality 4.0 – a review of and framework for quality management in the digital era

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajan Ranjith Kumar ◽  
L.S. Ganesh ◽  
Chandrasekharan Rajendran
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Conceptual Framework ◽  
Industry 4.0 ◽  
Business Processes ◽  
Model Building ◽  
Building Blocks ◽  
Digital Transformation ◽  
Content Type ◽  
Abstract Knowledge

PurposeIndustry 4.0 has brought about a paradigm shift in value delivery with the introduction of disruptive technologies. This has resulted in efforts by organizations to re-invent their business processes and reskill their workforce while attempting to realize digital transformation. Quality management in the context of Industry 4.0 is still in its nascent stage with researchers trying to identify key and relevant components of quality management with respect to Industry 4.0. The current study attempts to address the knowledge gap through a literature review and subsequently provide a conceptual framework for quality in the digital transformation context.Design/methodology/approachAn integrative literature review was conducted to analyze and abstract knowledge from the literature on Quality 4.0 and a conceptual framework was developed based on the review.FindingsThe review revealed the motivators, building blocks and challenges for Quality 4.0. The conceptual framework discusses the salient points relevant to Quality 4.0 with respect to the people, process and technology dimensions and their sub-dimensions that can be used to build 4.0 capabilities. The proposed framework is represented to depict the conceptualization and the relationships among its components.Originality/valueThis study aims to contribute to the model building efforts of researchers towards Quality 4.0. The points discussed here provide an actionable direction to augment the efforts of practitioners and organizations in quality management in the context of Industry 4.0, especially digital transformation.

Supply chain integration and Industry 4.0: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saurabh Tiwari
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Conceptual Framework ◽  
Organizational Performance ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Building Blocks ◽  
Supply Chain Integration ◽  
Extensive Literature ◽  
Content Type

PurposeThe current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.Design/methodology/approachIn this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.FindingsThe study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.Research limitations/implicationsIn this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.Originality/valueThe present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.

Business excellence in a volatile, uncertain, complex and ambiguous environment (BEVUCA)

2017 ◽  
Vol 29 (5) ◽  
pp. 705-724 ◽  
Author(s):  
Ayat Saleh ◽  
Richard Watson
Keyword(s):  
Risk Management ◽  
Quality Management ◽  
Literature Review ◽  
Conceptual Framework ◽  
Success Factors ◽  
Content Type ◽  
Critical Success ◽  
Business Excellence ◽  
New Business ◽  
Management Thinking

Purpose The purpose of this paper is to examine how companies can achieve business excellence in a highly volatile, uncertain, complex and ambiguous (VUCA) environment. Within the literature about business excellence, there is a lack of understanding of the impact of today’s high VUCA on achieving business excellence. A new business concept, business excellence in a volatile, uncertain, complex and ambiguous environment (BEVUCA), will be illustrated so as to bridge this gap by considering the overall VUCA influence and the influences of each specific term individually. Design/methodology/approach The research incorporated a systematic literature review for three knowledge areas, namely: VUCA, business excellence and the management integration of quality and risk. The later knowledge area was reviewed because such diverse management thinking can help to achieve BEVUCA. Findings The research provided a definition for a new business concept and the systematic literature review identified 18 critical success factors so as to manage and excel under a high VUCA business environment. Finally a conceptual framework was developed for integrating quality management and risk management thinking so as to achieve BEVUCA. Originality/value BEVUCA can be used to close the current gap in the body of literature by providing a link between VUCA and business excellence, and hence advancing the discussion in these areas. Additionally, the BEVUCA conceptual framework can be used as guidance in integrating quality management and risk management to achieve the identified critical success factors.

Industry 4.0, quality management and TQM world. A systematic literature review and a proposed agenda for further research

2020 ◽  
Vol 32 (4) ◽  
pp. 603-616 ◽  
Author(s):  
Andrea Chiarini
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Customer Value ◽  
Big Data Analytics ◽  
Content Type ◽  
Definition Of ◽  
And Control ◽  
Different Sources

PurposeThe main purpose of this paper is to analyse the current literature situation in terms of relationships between Industry 4.0 and quality management and TQM. The author wanted to understand what topics and issues can be considered the most relevant referring to the so-called Quality 4.0, what the literature is missing opening avenues for further research.Design/methodology/approachThis research employed a systematic literature review. In total, 75 papers from different sources were reviewed using specific inclusion and exclusion criteria.FindingsFour categories of topics emerged, namely: creating value within the company through quality (big) data, analytics and artificial intelligence; developing Quality 4.0 skills and culture for quality people; customer value co-creation; cyber–physical systems and ERP for quality assurance and control. This paper also tried to understand if there is a definition of Quality 4.0 based on determined methods.Research limitations/implicationsSystematic literature review could have introduced some limitations in terms of the number and reliability of reviewed papers. Probably some interesting papers had been not intentionally missed.Practical implicationsConsultants and managers in developing and implementing their own Quality 4.0 models could use many practical and discussed implications concerning I4.0 technologies and quality management.Originality/valueThis is one of the first papers which employed the systematic literature review for researching Industry 4.0, quality management and TQM relationships.

Industry 4.0 disruption: assessing the need for adaptive capability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Uma Shankar Rangaswamy
Keyword(s):  
Industry 4.0 ◽  
Design Methodology ◽  
Business Processes ◽  
Academic Research ◽  
Digital Transformation ◽  
Theoretical Frameworks ◽  
Content Type ◽  
Adaptive Capability ◽  
Learning Capabilities ◽  
Improved Learning

Purpose Considering the advent of Industry 4.0, organizations need to undergo digital transformation to survive disruptions owing to rapid technological changes. Accordingly, organizations should develop their adaptive capability to respond to these technological advancements and move ahead with their digital transformation journey. Design/methodology/approach Based on the author’s insights as a practitioner on digital transformation and based on existing theoretical frameworks, the author presents a conceptual framework on the determinants of adaptive capability required for digital transformation. Findings Organizations should develop their adaptive capability through improved learning capabilities and effective knowledge management system. They should also focus on exploring innovations and ideas and discard unwanted business processes to meet Industry 4.0 disruptions and achieve digital transformation. Originality/value This study has been done based on the author's academic research on adaptive capability and personal insights after engaging in several digital transformation engagements.

Learning from criticisms of quality management

2015 ◽  
Vol 7 (2/3) ◽  
pp. 201-216 ◽  
Author(s):  
Gilles Barouch ◽  
Stéphane Kleinhans
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Design Methodology ◽  
State Of The Art ◽  
Senior Managers ◽  
Content Type ◽  
Adequate Response ◽  
Academic Results

Purpose – This paper aims at summing up the main criticisms concerning quality management (QM) in order to address them through objective arguments or extant research. Since its diffusion in the Occident in the 70s, QM gained as much approvals as criticisms. Therefore, with 40 years distance, it seems useful to sum up the main criticisms addressed to QM, to present a synthesis of the answers provided by researchers to these criticisms and to propose extant research when it appears that some criticisms have not received yet the adequate response. Design/methodology/approach – This paper is based on a literature review. Findings – This paper comes up with a list of the main criticisms addressed to QM. Then, main causes of criticisms are identified: ignorance of QM, confusion concerning QM definitions and theory and misuse of QM by senior managers. At last, QM organizational solutions are proposed which answer most expressed criticisms. Extant research tracks are considered for those relevant criticisms which have not been sufficiently addressed until now. Research limitations/implications – Further research will look into depicting a survey conducted among QM professionals concerning QM criticisms in their organization and confronting them to these academic results. Originality/value – This paper actualizes and completes Giroux and Landry’s (1998) article which dealt extensively with QM criticisms. Professionals will find in this paper answers to most criticisms against QM and a better understanding of the present limits of this discipline. Researchers will be provided with a state of the art concerning this sensitive topic, allowing them to go deeper in the fields that require special attention.

Digital transformation of organizations: what do we know and where to go next?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monika Jedynak ◽  
Wojciech Czakon ◽  
Aneta Kuźniarska ◽  
Karolina Mania
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Business Models ◽  
Grey Literature ◽  
Blind Spot ◽  
Digital Transformation ◽  
Academic Disciplines ◽  
Future Research ◽  
Content Type ◽  
Management Domain

PurposeThe purpose of this paper is to identify the development of the digital transformation literature and to the systematic literature review methodology.Design/methodology/approachThe authors run a systematic literature review, followed by a rigorous thematic analysis of both academic and grey literature dataset, in order to develop a conceptual map of organizations' digital transformation. The authors aggregate the concepts and topics identified across the literature to find that they overwhelmingly tackle digital business models. At the same time, the authors identify a major blind spot resulting from ignoring the organization itself as a unit of analysis.FindingsThe findings show that developing a digital theory of the organization or the theory of digitally transformed organization is a major challenge to management researchers. The analysis exposed numerous research gaps that can be helpful for future research directions.Originality/valueDigital transformation research enjoys an increasingly rapid rise to recognition across many academic disciplines and strongly impacts the management domain. adopt the view that published documents reflect the collective understanding of a phenomenon. This paper contributes to filtering the digital transformation literature, clarify complex relation between digital transformations of organizations and identify the key blind points.

scholarly journals Digitalization of Business Processes of Enterprises of the Ecosystem of Industry 4.0: Virtual-Real Aspect of Economic Growth Reserves

2021 ◽  
Vol 18 ◽  
pp. 569-580
Author(s):  
Kateryna Kraus ◽  
Nataliia Kraus ◽  
Oleksandr Manzhura
Keyword(s):  
Economic Growth ◽  
Virtual Reality ◽  
Data Storage ◽  
Industry 4.0 ◽  
Large Scale ◽  
Business Processes ◽  
Digital Transformation ◽  
Cloud Services ◽  
Scale Production ◽  
Cloud Platform

The purpose of the research is to present the features of digitization of business processes in enterprises as a foundation on which the gradual formation of Industry 4.0 and the search for economic growth in new virtual reality, which has every chance to be a decisive step in implementing digital strategy for Ukraine and development of the innovation ecosystem. Key problems that arise during the digitalization of business processes in enterprises are presented, among which are: the historical orientation of production to mass, “running” sizes and large batches; large-scale production load; the complexity of cooperation and logic between production sites. It is determined that high-quality and effective tools of innovation-digital transformation in the conditions of virtual reality should include: a single system of on-line order management for all enterprises (application registration – technical expertise – planning – performance control – shipment); Smart Factory, Predictive Maintenance, IIoT, CRM, SCM. Features of digital transformation in the part of formation of enterprises of the ecosystem of Industry 4.0 are revealed. The capabilities and benefits of using Azure cloud platform in enterprises, which includes more than 200 products and cloud services, are analyzed. Azure is said to support open source technologies, so businesses have the ability to use tools and technologies they prefer and are more useful. After conducting a thorough analysis of the acceleration of deep digitalization of business processes by enterprises, authors proposed to put into practice Aruba solution for tracking contacts in the fight against COVID-19. Aruba technology helps locate, allowing you to implement flexible solutions based on Aruba Partner Ecosystem using a USB interface. It is proposed to use SYNTEGRA – a data integration service that provides interactive analytics and provides data models and dashboards in order to accelerate the modernization of data storage and management, optimize reporting in the company and obtain real-time analytics. The possibilities of using Azure cloud platform during the digitization of business processes of enterprises of the ecosystem of Industry 4.0 in the conditions of virtual reality are determined.

Total quality management 4.0: adapting quality management to Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabiane Florencio de Souza ◽  
Alana Corsi ◽  
Regina Negri Pagani ◽  
Giles Balbinotti ◽  
João Luiz Kovaleski
Keyword(s):  
Systematic Review ◽  
Quality Management ◽  
Industry 4.0 ◽  
Ecosystem Model ◽  
Future Research ◽  
Total Quality ◽  
Review Of The Literature ◽  
Content Type ◽  
Industrial Sectors ◽  
Data Collections

PurposeThe purpose of this article is to explore the new concept of TQM 4.0 as a way of adapting quality management (QM) in Industry 4.0 (I4.0), guiding industries to this new phase, which has generated adaptations in numerous areas, one of which is QM and human resources.Design/methodology/approachA systematic review of the literature was carried out. Methodi Ordinatio was applied to build the portfolio of articles with scientific relevance, which is the source of data collections and content analysis. To help out in the analysis, NVivo 12 and VOSviewer software programs were used.FindingsThe results demonstrate that when adapting the QM to the technologies of I4.0, the result is an ecosystem that supports the integration between technology, quality and people in the industrial scenario.Research limitations/implicationsThis article presents a systematic review of the literature, but without delving into specific issues such as the different industrial sectors and the culture of countries in which industries may be inserted, for example, which characterizes a limitation of this research.Practical implicationsThis study provides an ecosystem model that can guide future research, regarding the concept of TQM 4.0, in addition to pointing out some ways of combining technologies, quality and people in the industrial context.Originality/valueThis is one of the first articles to employ a systematic review of the literature using Methodi Ordinatio to build a bibliographic panorama on the intertwining of the themes total QM (TQM) and I4.0, focusing on the emerging concept of TQM 4.0.

Customer process-centric artefacts: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elisabeth Zsoka Palvölgyi ◽  
Jürgen Moormann
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Business Processes ◽  
Contextual Factors ◽  
Research Gaps ◽  
Content Type ◽  
Research Fields ◽  
Management Literature ◽  
Research Frameworks ◽  
Descriptive Knowledge

PurposeCompanies that strive to provide customers with value in their processes benefit from artefacts that allow them to better understand customer processes (CPs) and to influence CPs in ways that are valuable for customers. Such CP-centric artefacts (CPCAs) carry various labels across research fields, which inhibit their application or utilization for developing further artefacts. This study provides a structured overview of existing CPCAs and investigates which research foundations promote their development.Design/methodology/approachTwenty-five CP-related keyword combinations are applied in several iterations using multiple (meta) search engines to identify papers on CPCAs across different research streams. Introduced research frameworks organize the identified artefacts and indicate research gaps and reasons why some approaches are more successful in developing CPCAs than others.FindingsExisting CPCAs cover different aspects of CPs and utilize contextual factors of CPs to varying degrees to analyse or influence CPs. Research gaps are identified that indicate opportunities to develop further CPCAs. Taking instantiated methods in combination with CP-related descriptive knowledge as a foundation yields the highest potential for generating beneficial CPCAs.Originality/valueThis paper contributes to CP management literature by offering a foundation for the generation of CPCAs suitable for analysing and influencing CPs of end-consumers. This supports the establishment of a CP management aiming at optimizing both, interlinked business processes and CPs.

The future of manufacturing industry: a strategic roadmap toward Industry 4.0

2018 ◽  
Vol 29 (6) ◽  
pp. 910-936 ◽  
Author(s):  
Morteza Ghobakhloo
Keyword(s):  
Language Processing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Core Competencies ◽  
Building Blocks ◽  
Design Principles ◽  
Ongoing Research ◽  
Holistic View ◽  
Content Type ◽  
Technology Trends

Purpose The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify its architectural design and offer a strategic roadmap that can serve manufacturers as a simple guide for the process of Industry 4.0 transition. Design/methodology/approach The study performs a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0. The study further benefits from a comprehensive content analysis of the 178 documents identified, both manually and via IBM Watson’s natural language processing for advanced text analysis. Findings Industry 4.0 is an integrative system of value creation that is comprised of 12 design principles and 14 technology trends. Industry 4.0 is no longer a hype and manufacturers need to get on board sooner rather than later. Research limitations/implications The strategic roadmap presented in this study can serve academicians and practitioners as a stepping stone for development of a detailed strategic roadmap for successful transition from traditional manufacturing into the Industry 4.0. However, there is no one-size-fits-all strategy that suits all businesses or industries, meaning that the Industry 4.0 roadmap for each company is idiosyncratic, and should be devised based on company’s core competencies, motivations, capabilities, intent, goals, priorities and budgets. Practical implications The first step for transitioning into the Industry 4.0 is the development of a comprehensive strategic roadmap that carefully identifies and plans every single step a manufacturing company needs to take, as well as the timeline, and the costs and benefits associated with each step. The strategic roadmap presented in this study can offer as a holistic view of common steps that manufacturers need to undertake in their transition toward the Industry 4.0. Originality/value The study is among the first to identify, cluster and describe design principles and technology trends that are building blocks of the Industry 4.0. The strategic roadmap for Industry 4.0 transition presented in this study is expected to assist contemporary manufacturers to understand what implementing the Industry 4.0 really requires of them and what challenges they might face during the transition process.

Sign in / Sign up

Export Citation Format

Share Document