Abstract
Human factors play an important role in the
optimization of industrial processes. Human performance varies
from worker to worker. Factors such as a worker’s skill, effort,
condition, and consistency have a significant impact on his
performance. In manual manufacturing operations, this
performance gap becomes quite crucial. The objective of this
paper is to determine the effect of human factors on the efficiency
of assembly lines and labor costs by using the Classical
Westinghouse Method (CWM). A time study-based mathematical
model is formulated to optimize assembly line efficiency and labor
costs by considering human factors such as workers’ skill, effort,
condition, and consistency. The model is verified by a time study
of the serial manufacturing industry in Pakistan. The model
enables serial assembly line manufacturing industries to optimize
assembly line efficiency and labor costs by taking human factors
into account.
optimization of industrial processes. Human performance varies
from worker to worker. Factors such as a worker’s skill, effort,
condition, and consistency have a significant impact on his
performance. In manual manufacturing operations, this
performance gap becomes quite crucial. The objective of this
paper is to determine the effect of human factors on the efficiency
of assembly lines and labor costs by using the Classical
Westinghouse Method (CWM). A time study-based mathematical
model is formulated to optimize assembly line efficiency and labor
costs by considering human factors such as workers’ skill, effort,
condition, and consistency. The model is verified by a time study
of the serial manufacturing industry in Pakistan. The model
enables serial assembly line manufacturing industries to optimize
assembly line efficiency and labor costs by taking human factors
into account.
Original language | English |
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Title of host publication | 2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) |
Publication status | Accepted/In press - 2024 |