MONITORING AND PREDICTION SYSTEM DESIGN FOR GLOVES PRODUCTION OF PT CAHAYA PRADA ABADI WITH PROTOTYPING METHOD
PT Cahaya Prada Abadi (PT CPA) is a company that produces garment products from leather. PT CPA produces golf gloves by order from PT Adira Semesta Industri (PT ASI). PT CPA data shows the symptom of product delivery delays. PT CPA data shows that 83% of products are delayed from PT ASI’s target....
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/71889 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | PT Cahaya Prada Abadi (PT CPA) is a company that produces garment products
from leather. PT CPA produces golf gloves by order from PT Adira Semesta
Industri (PT ASI). PT CPA data shows the symptom of product delivery delays. PT
CPA data shows that 83% of products are delayed from PT ASI’s target. Product
delivery delays are caused by several reasons by interviews and plant observations.
One cause of the reason is the production monitoring system hasn’t been optimal.
In this study, improvements were made to PT CPA’s production monitoring system
to facilitate the production supervisor to monitor the process. The production
monitoring system accompanied by predictions of production completion for
production completion strategies input.
The output of this research was carried out by designing a monitoring system and
predicting the completion of production. The research completed the monitoring
system with the prototyping method. The scope of the prototyping method only
reaches three stages, investigation/analysis, analysis/design, and
design/implementation.
The result of monitoring system is a dashboard and prediction of production
completion. The monitoring system dashboard was designed on Microsoft Excel
software. The monitoring system successfully displayed the product type, current
process, completion rate, and completion prediction for each product type. The
monitoring system displayed the possibility of delays from the predicted production
completion and the predicted result are close to the actual conditions. The
monitoring system is feasible to use because it considers user needs, the software
used by the company, and the education level of the worker.
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