STATISTICAL ANALYSIS IN ASSEMBLY LINE
BALANCING: LEAN MANUFACTURING
APPLICATION IN ENERGY SECTOR
Burcu Ozcan , Ipek Dolu and Kubra Mutlu
Abstract
The elimination of non-value added activities, maximizing the use of re-
sources, reducing costs, ensuring continuity of these e orts, increasing
quality and productivity are essential for rms. The lean manufactur-
ing technique developed for this purpose is based on statistics data.
Statistical analysis provides an improvement by presenting the current
situation and future situation. The lean manufacturing operation was
carried out in the \Qatar Breaker” assembly line, which operates in
the energy sector. Circuit breakers are switchgears which are used to
cut o the load current and short-circuit currents occur in high volt-
age and high-current switches. In this study, The Lean Production
Activity Plan is conducted. Throughout this plan, process data col-
lection, process analysis, process uctuation and then standardization
with kaizen have been applied in this order. Due to the fact that the
use of automation is not widespread in the production system of the
factory and manual labor is of rst priority, process analyses were made
with video records. Then standard operation tables were prepared and
new process design was created according to the combination of these
tables and sales planning departments’ data. As a result, assembly line
balancing was performed by creating work ow according to this new
process design.
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