A FRAMEWORK FOR THE QUALITY CONTROL MANAGER SELECTION BASED ON THE PIPRECIA AND WS PLP METHODS
A FRAMEWORK FOR THE QUALITY CONTROL MANAGER SELECTION BASED ON THE PIPRECIA AND WS PLP METHODS

Author(s): Gabrijela Popović
Subject(s): Economy, Business Economy / Management
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: WS PLP method;PIPRECIA method;quality control manager;selection;
Summary/Abstract: Increasing demand for quality products has an impact on the rising significance of the role of the quality control manager. Recruiting a new quality control manager and his/her selection amongst a greater number of the candidates who have applied is a very complex task. There are a significant number of the criteria that a candidate should meet, which on their part affect the final ranking and selection. It is a very delicate decision because there is a very thin line separating a good choice from a bad one. With the aim of facilitating the process of the selection of a quality control manager, the application of the framework based on the PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) and WS PLP (Weighted Sum method, based on the decision-maker’s Preferred Levels of Performances) methods is proposed in this paper. The applicability of the proposed framework is presented by a numerical example, where three decision-makers evaluate six candidates against the five evaluation criteria.

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