3RD INTERNATIONAL THALES CONGRESS ON LIFE, ENGINEERING, ARCHITECTURE AND MATHEMATICS, Cairo, Mısır, 24 - 25 Nisan 2025, ss.1-806, (Özet Bildiri)
When establishing career management policies, businesses must offer promotion opportunities to
employees who demonstrate high performance and success, and create a fair promotion mechanism. The
number and content of promotion criteria, which are determined by performance evaluation outcomes,
are pivotal in decisions regarding the placement of individuals in significant positions that will steer the
future of the organization. This study focuses on the foreman selection problem among 268 blue-collar
workers in a sock manufacturing factory within the textile industry, considering the influence of various
independent factors from the perspective of decision-makers. Multi-Criteria Decision-Making (MCDM)
techniques were employed to identify the most optimal decision. The nine criteria used for evaluation
(machine count, target dozens, actual dozens, production weight, operator efficiency, defect weight,
waste, downtime count, and downtime duration) were weighted using the MCDM method known as
the Method based on the Removal Effects of Criteria (MEREC). For the selection of foremen from the
blue-collar workers, the Combinative Distance-based Assessment (CODAS) method was applied. In the
personnel evaluation process, which utilized two years of data, downtime duration was identified as the
most heavily weighted criterion. Discussions with company officials and subject-matter experts led to
the conclusion that the time spent by an employee intervening with machinery is closely correlated with
their proficiency in their work. Following the weighting process, the foreman selection was completed
through a ranking system based on the CODAS method. This study ensures that the foreman selection
process, previously based on managerial experience and subjective observations, was performed in an
objective and fair manner, using quantitative data, and subsequently implemented within the company.