This paper presents the use of a learning curve for designing manual and motor skills tests intended for employee selection for an assembly line. The proposed approach addresses the need to assess candidates’ manual dexterity, motor coordination and tool handling before they enter training or production. A testing kit consisting of an assembly box, hand tools and an MS Excel-based evaluation sheet was developed. Standard assembly time was determined using the Basic MOST method, and candidate performance was evaluated from repeated measured times. The learning rate was calculated by two approaches, namely the average of gradual improvement and least-squares regression. The results show that the learning curve can serve as a practical decision-support tool in hiring by identifying candidates with better adaptation potential and a higher probability of reaching the required assembly standard. The novelty lies in combining a Basic MOST-based standard time, repeated work-sample cycles, and individual learning-curve estimation in one transparent recruitment model.
Science Journal 