Team member selecting based on AHP and TOPSIS grey
Problem of selecting a person as a new personnel or member of any group is a critical issue in human resource management. Personnel selection is a big challenge in all types of companies, organizations and communities, involving multiple issues that should be evaluated simultaneously. A group as a team should work in the best form to attain its goals. Accordingly, a complex decision support methodology for effective team members’ selection is required.
The aim of the current research is to develop the decision model for human resource management that aggregates experts' knowledge and deals with uncertain information. The current paper considers a model based on hybrid Multiple Criteria Decision Making (MCDM) methods as a framework for the challenge of personnel selection. Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution with Grey Relations (TOPSIS grey) are applied for this aim. AHP is used for identifying the importance of each criterion when selecting a group member. TOPSIS grey is applied for ranking of alternatives, i.e. particular personnel, characterized by a set of criteria that are determined by grey relations and expressed in intervals.
A case study about process of selecting a new drummer for a rock band is presented to demonstrate the applicability and the effectiveness of the proposed model. Criteria as technical ability, ability of accommodation to band and genre, discipline, ability to work with band (teamwork), general issues like age, behavior, ideology and etc., ability of composing and motivation are prioritized from the most important to the least important, respectively, based on AHP results. Four potential candidates are considered. One of them is selected as the best drummer for the band among four applicants based on TOPSIS grey results.The presented hybrid multiple criteria decision making helps to perform personnel selection effectively and objectively when multiple criteria are evaluated simultaneously. The first part of the proposed methodology, i.e. AHP is useful for determining the importance of each criterion and calculating weight of each criterion, while the second part with TOPSIS grey is useful for evaluating alternatives more precisely than usual crisp TOPSIS. The model can be implemented as an effective decision aid to improve human resources management in various areas of economic activities.