Metro Driver Selection by Using Multi Criteria Decision Making Methods

Hiring unqualified personnel in transport industry does not only cause money and time waste, but also it affects the safety of users. The selection of the appropriate staff problem is a multi-criteria decision-making problem. In this study, multi criteria decision-making methods are used to select metro driver for a metropolitan municipality. Firstly, criteria were determined by literature research and expert interviews and these criteria were weighted with AHP (Analytic Hierarchy Process) method. After that, candidates are ranked by using GRA (Grey Relational Analysis) and TOPSIS methods. The results of both methods are compared to analyze the consistency of the study. It is shown that non-numeric criteria can be digitized, and this leads to make more objective personnel selection. According to the authors' knowledge, this study is the first in the literature for the selection of subway drivers. Moreover, it is a rare study which uses two different methods to analyze the consistency of results in alternatives' ranking process.