Akademik Veri Yönetim Sistemi
5th International Mediterranean Science and Engineering Congress (IMSEC 2020), Antalya, Türkiye, 21 - 23 Ekim 2020, cilt.1, sa.55, ss.76
Human learning, a signifcant human factor element including human capabilities and limitations, is especially
relevant to labor-intensive sectors. Te time needed to complete a task decreases as worker gains experience. Te
progress of employees owing to repetitions can be explained by learning curves. Te learning curves pervades
all industrial activities and commonly employed in business from production management, to operations,
machine scheduling, ergonomics, project planning, construction, strategic analysis, process control and quality.
Different industrial application areas of learning curves are electronics, ship construction, medicine, aviation
and space. But, human learning has an impact on the safety, productivity and efciency of company operations
especially for manufacturing. Te cumulative average (Wright) and unit (Crawford) are the two main learning
curve models which are commonly employed in industry. In addition, good planning in industrial activities
augments the probability of fnishing projects within time and budget. From ergonomics and human factors
management point of view, human learning should be considered in detailed scheduling of production activities
for optimizing activity time and cost. In this study, we present a comprehensive review of learning curves and its
applications in the literature, which are benefcial for making cost estimates, defning labor standards, arranging
labor requirements, assessing labor performance, and determining wage rates. Tis study highlights important
features of learning curves and reveals the main areas in which learning curves are commonly used. We provide
a basis for understanding and employing learning curves for assessing and designing company strategy and
present various real world application opportunities as a future work.