Improving data consistency in Industry 4.0: an application of digital lean to the maintenance record process
- a Francesco Longo ,
- b Letizia Nicoletti ,
- c Antonio Padovano ,
- dAgostino G. Bruzzone ,
- eGiovanni Mirabelli ,
- f Adriano Solis ,
- g Caterina Fusto ,
- h Jessica Frangella ,
- i Lucia Gazzaneo
- a,c,e,g,h,i DIMEG, University of Calabria, Arcavacata di Rende (CS), Italy
- b Cal-Tek S.r.l., Rende (CS), Italy
- d DIME-University of Genoa, Italy
- f York University, Toronto (ON), Canada
Cite as
Longo F., Nicoletti L., Padovano A., Bruzzone A., Mirabelli G., Solis A.O., Fusto C., Frangella J., Gazzaneo L. (2019). Improving data consistency in Industry 4.0: an application of digital lean to the maintenance record process. Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 384-389. DOI: https://doi.org/10.46354/i3m.2019.emss.054.
Abstract
Being competitive in today’s global business environment requires an even higher productivity, quality, flexibility and service levels in the perspective of the new era of industrial systems based on an augmented knowledge. As a result, many companies have focused their attention on better management of their asset and equipment. In this perspective, some factories have turned to Lean Management guidelines, while others, have tried to become “smart”, following the principles of Industry 4.0 paradigm. Although a positive correlation has been established between them, the integration of lean practices and Industry 4.0 remains an open question that needs to be further explored and analyzed. The paper will give a contribute to the topic, investigating this relation within asset management perspective. In particular, a 4.0 solution will be used to evaluate if and to what extent Industry 4.0 is able to implement the lean principles of Poka- Yoke. The developed tool will prove its effectiveness in solving problems related to the maintenance record management of a firm.
References
- Alkhoraif, A., Rashidb, H. & McLaughlin, P., s.d. Lean implementation in small and medium enterprises: Literature review. Operation Research Perspectives, Issue https://doi.org/10.1016/j.orp.2018.100089.
- Bhamu, J. & Sangwan, K. S., 2014. Lean manufacturing: Literature review and research issue. International Journal of Operations & Production Management, July, pp. 876-940.
- Buer, S.-V., Strandhagen, J. O. & Chan, F. T. S., 2018. The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. The International Journal of production Research, 56(4), pp. 1-17.
- Christiansen, B., 2018. 4 Biggest Building Maintenance Challenges and Solutions.
- Filho, G. & Lage, J. M., 2010. Variations of the kanban system: literature review and classification. Int J Prod Econ, Volume 125, p. 13–21.
- Malega, P., 2018. Poka-Yoke - solution to human errors in the production process. The International Journal of Business Management and Technology, 2(5), pp. 207-213.
- Nafais, S., 2017. Manufacturing, Automated Lean. Kingston University London.
- Rüttimann, B. G. & Stöckli, M. T., 2016. Lean and Industry 4.0—Twins, Partners, or Contenders? A Due Clarification Regarding the Supposed Clash of Two Production Systems. Journal of Service Science and Management, Volume 9, pp. 485-500.
- Sanders, A., Elangeswaran, C. & Wulfsberg, J. P., 2016. Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management (JIEM), 9(3), pp. 811-833.
- Shrimali, A. K. & Soni, K. V., 2017. A Review on Issue of Lean manufacturing Implementation by Small and Medium Enterprises. International Journal of Mechanical and Production Engineering Research and Development, 7(3), pp. 283-300.
- Sundar, R., Balaji, A. N. & SatheeshKumar, R. M., 2014. A Review on Lean Manufacturing Implementation Techniques. Procedia Engineering, 97(12th GCMM), pp. 1875-1885.
- Würth Industrie Service GmbH & Co. KG, 2013. iBin(R) stocks in focus—the first intelligent bin
Volume Details
Volume Title
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019)
Conference Location and Date
Lisbon, Portugal
September 18-20, 2019
Conference ISSN
2724-0029
Volume ISBN
978-88-85741-25-6
Volume Editors
Michael Affenzeller
University of Applied Sciences Upper Austria, Austria
Agostino G. Bruzzone
MITIM-DIME, University of Genoa, Italy
Francesco Longo
DIMEG, University of Calabria, Italy
Guilherme Pereira
University of Minho, Portugal
EMSS 2019 Board
Francesco Longo
General Co-Chair
DIMEG, University of Calabria, Italy
Guilherme Pereira
General Co-Chair
University of Minho, Portugal
Michael Affenzeller
Program Chair
University of Applied Sciences Upper Austria, Austria
Copyright
© 2019 DIME University of Genoa, DIMEG University of Calabria