Abstract
(1) Background: In recent years, many studies regarding the issues of improving the management and effectiveness of the maintenance department of manufacturing companies, in the context Industry 4.0, have been published. This makes it necessary to establish a research gap in the approach to obtaining support in realising management tasks in the maintenance area in the selection of appropriate employees to perform the given activities. (2) Methods: This article uses literature studies and empirical research results from manufacturing companies, in order to determine the approach in supporting the selection of maintenance experts. In the approach, the method used—which is based on rules should there be future any formalisation of the data—is also the Fuzzy Analytic Hierarchy Process (FAHP), which analyses the importance of a given competence, within a manufacturing resource, to undertake repairs. (3) Results: The innovative approach towards the selection of expert workers in a maintenance department is created, in part, in the form of an implemented web-application. The novelty of the “maintenance expert selection map", so-called, is the provision of formal procedures for describing the competence of each maintenance worker and defining the best “state of nature”. (4) Conclusions: In the research that is presented here, the practicality for maintenance managers in the “maintenance expert selection map" was established. This map describes the competence of workers for selecting them for repair work within a given manufacturing resource; the scope of employee training was also determined in this research.
Highlights
The implementation of the Industry 4.0 concept within manufacturing enterprises was, and still is, the objective of many research papers [1,2,3,4]
The novelty of the “maintenance expert selection map", so-called, is the provision of formal procedures for describing the competence of each maintenance worker and defining the best “state of nature”. (4) Conclusions: In the research that is presented here, the practicality for maintenance managers in the “maintenance expert selection map" was established. This map describes the competence of workers for selecting them for repair work within a given manufacturing resource; the scope of employee training was determined in this research
It was established that the “maintenance expert selection map” is useful in:
Summary
The implementation of the Industry 4.0 concept within manufacturing enterprises was, and still is, the objective of many research papers [1,2,3,4]. Human operators are key resources within a smart manufacturing company [7], since such workers are aware of specific technological processes; one can still observe the need to obtain support in the selection of appropriate employees, in order for them to undertake given activities. The approach to Supporting the Selection of Maintenance Experts, which contributes the method used—which is based on rules should there be any future formalisation of the data—is the Fuzzy Analytic Hierarchy Process (FAHP). This approach analyses the importance of a given its competence to undertake repair work within a manufacturing resource and it is defined and developed for the phase: “Decide” in the CBM approach.
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