Title of article :
A new personnel selection model for quality positions
Author/Authors :
Bahom ، Sara Ait Department of Information and Communication Systems Laboratory - National School for Applied Sciences of Tangier , Chraïbi ، Lotfi Department of Information and Communication Systems Laboratory - National School for Applied Sciences of Tangier , Sefiani ، Naoufal Engineering, Innovation Management and Industrial Systems Research Team - Faculty of Science and Technology of Tangier
Abstract :
Quality Management System (QMS) plays a crucial role in each company that aims to gain a competitive advantage. However, the QMS implementation requires a competent staff. Therefore, companies need a tool that will help them select the most competent candidates for quality positions. To this aim, we have developed a new fuzzy hybrid approach based on the integration of the 2-tuple linguistic representation model with the Distance to the Ideal Alternative (DIA) method, which enables assessing candidates without distortion of the initial information. In this article, we present an illustrative example of ranking candidates for a quality coordinator position to demonstrate the validity and efficiency of our approach. In addition, we compare our approach with the most well-known and used classification approach, which is based on the use of the TOPSIS method.
Keywords :
Competence , 2 , tuple , DiAmethod , Multiple criteria decision , making , Quality management system , QMS , Personnel selection
Journal title :
Journal of Applied Research on Industrial Engineering
Journal title :
Journal of Applied Research on Industrial Engineering
