Product Information:-

  • Journals
  • Books
  • Case Studies
  • Regional information
Request a service from our experts.
Visit the JDAL journal page.

Industry 4.0, Digitalisation and Artificial Intelligence (AI): Impact and implications for quality and environment management


Special issue call for papers from The TQM Journal

Industry 4.0, Digitalisation and Artificial Intelligence (AI): Impact and implications for quality and environment management

Special issue call for Papers from The TQM Journal

Guest Editors:
Dr Andrea Chiarini
University of Verona, Italy
Andrea.chiarini@univr.it

Professor Pauline Found
Cardiff University, UK
FoundP@cardiff.ac.uk

Background

Over the last decade Industry 4.0 has been debated as a new paradigm for improving productivity through digitalisation and the integration of the so-called cyber technologies over the Internet of Things (IoT) (Kagermann et al., 2013; Ghobakhloo, 2018).
Since its introduction in Germany through a strategic and political agenda from the Federal German government (Kagermann et al., 2011), Industry 4.0 has been studied from different perspectives, mainly from a technological standpoint (Liao et al., 2017). Yet, Industry 4.0 can be classified as a strategic model for achieving goals in terms of cost reduction, productivity, quality, customer satisfaction, lead time reduction and even in healthcare and environmental performance (Koberg et al., 2015; Lu, 2017). In this light it offers extensive ground for research in the future. In fact, Industry 4.0, which is defined as the fourth industrial revolution, could improve industry in a way that we cannot even imagine today (European Commission 2015).
Over the last five decades, companies of all kinds have also dealt with the implementation of quality management systems such as TQM-TQC, ISO 9001, Six Sigma along with the kaizen principles from the Japanese Toyota Production System (TPS), also known as Lean Manufacturing. Many of these companies have subsequently also integrated their systems with ISO 14001, ISO 45001 and other standards dedicated to environmental management and safety. In such a scenario, companies may further increase their performance by integrating these management systems with Industry 4.0 technologies and developing new models for doing business.

Call for Papers

Industry 4.0, digitalisation and artificial intelligence open up new opportunities and implications for products, services, customer satisfaction, production management, job organisation, environmental impact and security in all sectors and including their supply chains. What is lacking so far is the development of theory connected to the above-mentioned issues, specifically in the context of a possible integration of quality and kaizen principles, plus environmental management, health and safety with Industry 4.0, digitalisation and artificial intelligence.


The TQM Journal is looking for both high quality research and valuable practice-oriented studies which seek to link theory with practical application. Quantitative and qualitative papers are welcome as long as they have a sound methodology. Following the nature of this special issue papers should be contextualised in one or more of the following topics and strictly connected with digitalisation, artificial intelligence or a more general industry 4.0 model:
•    Quality and productivity improvement
•    SPC and quality tools implementation
•    Lean/Agile operations
•    Supply chain management and logistics
•    Six Sigma and DMAIC pattern
•    Improving Product Service System (PSS) characteristics
•    Servitization and customer relationship
•    Quality management in healthcare
•    Quality management in education and training
•    ISO management system standards

Manuscript submission and review process

In preparing of manuscripts, authors are expected to follow the TQM author guidelines, found here. All submissions to be made via the TQM Journal ScholarOne manuscript submission portal: https://mc.manuscriptcentral.com/tqm
All papers should be submitted in English. Non-native English speakers are urged to have their manuscript proofread prior to submission. All submissions will be screened by the guest editors, and if they fit to the topics and have sufficient quality, they will be sent out to a team of reviewers to undergo the usual double-blind peer review process.
The deadline of submission is 30 October 2019. The TQM Journal special issue is expected to be published in the summer of 2020.

Keywords

Industry 4.0, digitalisation, TQM, quality management, Lean Six Sigma, Agile, PSS, servitization, ISO standards

References

European Commission, (2015), “Digital Single Market Strategy: European Commission agrees areas for action”, European Commission, Brussels – Press release. Available at: http://europa.eu/rapid/press-release_IP-15-4653_en.htm, accessed 29 March 2019
Ghobakhloo, M. (2018), “The future of manufacturing industry: A strategic roadmap toward Industry 4.0”, Journal of Manufacturing Technology Management, Vol.29, No.6, pp. 910-936.
Kagermann, H., Lukas, W.D. and Wahlster. W. (2011), “Industrie 4.0: Mit dem Internet der Dinge auf dem eg zur 4. Industriellen Revolution”, VDI Nachrichten, available at http://www.vdi-nachrichten.com/Technik-Gesellschaft/Industrie-40-Mit-Internet-Dinge-Weg-4-industriellen-Revolution, accessed 20 March 2019.
Kagermann, H., Wolfgang, W. and Helbi, J. (2013), “Recommendations for implementing the strategic initiative INDUSTRIE 4.0”, available at www.plattform-i40.de/finalreport2013, (accessed 30 March 2018).
Kolberg, D. and Zühlke, D. (2015), “Lean automation enabled by industry 4.0 technologies”, IFAC-PapersOnLine, Vol.48, No.3, pp. 1870-1875
Liao, Y., Deschamps, F. Loures, E.D.F.R. and Ramos, L.F.P. (2017), “Past, present and future of Industry 4.0 – a systematic literature review and research agenda proposal”, International Journal of Production Research, Vol.55, No.12, pp.3609-3629
Lu, Y. (2017), “Industry 4.0: A survey on technologies, applications and open research issues”, Journal of Industrial Information Integration, Vol.6, No.2, pp.1-10.