Digitalizing Predictive Maintenance to Improve Asset Management: Are We Ready?

Autor: Viktor Lovrencic, Nuno Almeida, Damjan Maletič, Dragan Komljenovic, Matjaž Maletič
Rok vydání: 2020
Předmět:
Zdroj: 39th International Conference on Organizational Science Development.
DOI: 10.18690/978-961-286-388-3.34
Popis: The purpose of this paper is to explore the readiness of selected Slovenian companies to assimilate the complexities of Industry 4.0 requirements into their asset management practice, namely for the particular case of the predictive maintenance function. The survey was conducted to capture the extent to which companies address new technologies as well as to identify the current and future orientation towards their adoption in predictive maintenance activities. The results suggest that companies are aware of the benefits that can be attained with Industry 4.0 solutions. However, they still lack of clear vison and an implementation roadmap such solutions. Moreover, the majority of the companies in the sample are still in the early stages of predictive maintenance strategy maturity. Taking a wider perspective one can highlight the need to adopt organization-wide asset management approach to be able to effectively manage the transition towards digitalization by means of creating higher value for the organization.
Databáze: OpenAIRE