Multi-criteria decision method for choosing ERP cloud systems in Industry 4.0 era

• Autorzy: Torbacki Witold

Identyfikatory

DOI

10.2478/mape-2019-0044

• Języki publikacji: EN

Abstrakty

EN

The article presents the issues covering the modern ERP cloud systems for manufacturing companies within the currently developed concept Industry 4.0. In this approach, research problems arose as to which parameters and characteristics of ERP cloud systems are the most important from the point of view of manufacturing companies as well as how the process of choosing an ERP system should be conducted. In addition, mutual relationships between these parameters were established. In the article, a multi-criteria decision analysis (MCDA) was used to assess these characteristics. The Decision making trial and evaluation laboratory (DEMATEL) technique was chosen for this assessment. The article can be useful to people interested in modern IT solutions in the production industries.

Słowa kluczowe

EN

MCDA; DEMATEL; ERP; cloud system; Industry 4.0

• Wydawca: STE GROUP ; De Gruyter
• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2019
• Tom: Vol. 2, Iss. 1
• Strony: 435--446
• Opis fizyczny: Bibliogr. 10 poz., fig., tab.

Twórcy

autor

Torbacki Witold

• Maritime University of Szczecin, Poland

Bibliografia

• 1. Ferreira, F.A.F., Ilander, G.O.P.-B. and Ferreira, J.J.M. (2019). MCDM/A in practice: methodological developments and real-world applications. Management Decision, 57(2), pp. 295-299.
• 2. Frank, A.G., Dalenogare, S.L. and Ayala, N.F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, pp. 15-26.
• 3. Gabus, A. and Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Geneva: Battelle Geneva Research Center.
• 4. Gigovic, L., Pamučar, D., Lukic, D. and Markovic, S. (2016). GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of "Dunayski kljuc" region, Serbia. Land Use Policy, 58, pp. 348-365.
• 5. Liao, Y., Deschamps, F., Loures, E.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, 55(12), pp. 3609-3629.
• 6. Naren, J., Sowmya, S.K. and Deepika, P. (2014). Layers of Cloud – IaaS, PaaS and SaaS: A Survey. International Journal of Computer Science and Information Technology, 5(3), pp. 4477-4480.
• 7. Nolin, J. and Olson, N. (2016). The internet of things and convenience. Internet Research, 26(2), pp. 360-376.
• 8. Parvin, S., Hussain, F., Hussain, O., Thein, T. and Park, J. (2013). Multi-cyber framework for availability enhancement of cyber-physical systems. Computing, 95(10-11), pp. 927-948.
• 9. Si, S.-L., You, X.-Y., Liu, H.-C. and Zhang, P. (2018). DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications. Mathematical Problems in Engineering, 3696457, pp. 1-33.
• 10. Zhong, R.Y., Xu, X., Klotz, E. and Newman, S.T. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 3(5), pp. 616-630.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).