A New Hybrid MCDM Model for Personnel Selection in the Mining Industry Based on the PIPRECIA-S, CRITIC, and WISP Methods

A myriad of factors impact various areas of the contemporary mining environment, making it more challenging. As in other industries, the ultimate goal in mining is optimising organisational operations and achieving the best results. A prerequisite to effectively achieving organisational goals is hiring the best personnel. Different innovative methods are implemented for optimisations in various areas of the mining industry. Numerous researches have been conducted so far on the use of various Multi-criteria decision-making (MCDM) methods in different areas of the mining industry. However, despite the plenitude of significant research in this context, a particular gap exists regarding personnel selection in the mining industry. This paper endeavours to narrow a current gap by providing a systematic literature review regarding MCDM methods in the mining industry. Therefore, the aim of the paper is to provide a novel hybrid integrated MCDM approach that is based on the PIPRECIA-S, CRITIC, and WISP methods for personnel selection in the mining industry. The weights of the criteria are determined by one subjective method (PIPRECIA-S) and by one objective method (CRITIC). Whereas, the final ranking is determined by the WISP method. The proposed integrated MCDM model shows itself as a very suitable technique for use in the process of evaluation of personnel in the mining industry.