USULAN PERBAIKAN SISTEM LAPORAN DAN PERANCANGAN DASHBOARD PRODUKSI PIPA PVC PADA PT MULTI MAKMUR LEMINDO TBK
PT Multi Makmur Lemindo Tbk. (PT MML) is a company that manufactures building materials. PT MML began by retailing other firms' products and has since expanded to include a factory that manufactures building materials on its own. Aside from that, PT MML is currently a supplier to other build...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/83645 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | PT Multi Makmur Lemindo Tbk. (PT MML) is a company that manufactures
building materials. PT MML began by retailing other firms' products and has
since expanded to include a factory that manufactures building materials on its
own. Aside from that, PT MML is currently a supplier to other building material
merchants from various parts of Indonesia. The primary product that generates
the most profit for PT MML is PVC pipe, which is make to order, depending on
customers specifications. With a sales percentage of more than 85% of the
building materials sold annually.
PVC pipe manufacturing records analyzed from 2022 to 2023 include
inconsistent data and are difficult to understand due to varied product names
and changing report formats. Waste data documented in production reports is
quite high year after year, resulting in material losses and expenditures
estimated at roughly 19 billion rupiah. As a result, further examination of the
waste produced is required in order to make changes. However, enterprises
have insufficient reporting data, so waste data, particularly defective items, is
not accurately recorded, making it difficult to determine the main causes of
waste.
It is believed that the solution design outcomes would benefit future waste
improvement processes. Starting with a structured and organized report
recording system and an in-depth review process using the dashboard,
businesses in the future can track waste and losses caused by waste and improve
them based on actual data from production and defect reports.
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