PERANCANGAN PERBAIKAN LEAD TIME PERAKITAN PADA DIVISI FABRIKASI PT X DENGAN MENGGUNAKAN PENDEKATAN LEAN MANUFACTURING
PT X is a company engaged in the heavy equipment manufacturing sector. The company produces heavy equipment attachments. In carrying out the production process, PT X has several divisions within the production department, one of which is the Fabrication Division. This division has a business proc...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/83377 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | PT X is a company engaged in the heavy equipment manufacturing sector. The company
produces heavy equipment attachments. In carrying out the production process, PT X has
several divisions within the production department, one of which is the Fabrication Division.
This division has a business process for assembling semi-finished components into final
products using welding methods. From January to August 2023, the percentage of overtime
in the Fabrication Division has consistently exceeded the company's set limit of 30%, with
the highest percentage occurring in July at 72.5%. Using the five whys method, it was found
that the root cause of this issue is the waste occurring in the assembly process in the
Fabrication Division.
The waste occurring in the assembly process can be eliminated by using a lean
manufacturing approach. Before making improvements, it is necessary to collect cycle time
data for each assembly activity, which is then processed by conducting data sufficiency tests,
data uniformity tests, and data normality tests. In the lean manufacturing concept, the
existing condition is mapped into a current state map using value stream mapping and
process activity mapping. After mapping the existing condition, waste identification is
conducted using the seven waste plus one method. Once the waste and its root causes are
identified, improvements are designed. Based on the data processing that has been carried
out, it was found that all the collected data is uniform and normally distributed with a sample
size of 20 samples. The proposed improvement designs include improving the assembly floor
layout, enhancing the UI of the work time recording application, and implementing 5S.
Based on these improvements, the proposed assembly lead time is 1,937.78 minutes.
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