QUALITY RISK MANAGEMENT IN THE PRODUCTION PROCESS OF CHEWABLE VITAMIN C TABLETS AT PT.BNJ
A Pharmaceutical Industry that commercializes its products in Indonesia is required to implement the latest Good Manufacturing Practices (GMP. One aspect of Indonsian GMP 2024 is Quality Risk Management. To assess quality risks, one method that can be used is FMEA (Failure Mode and Effect Analysi...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84957 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | A Pharmaceutical Industry that commercializes its products in Indonesia is
required to implement the latest Good Manufacturing Practices (GMP. One aspect
of Indonsian GMP 2024 is Quality Risk Management. To assess quality risks, one
method that can be used is FMEA (Failure Mode and Effect Analysis). Through the
FMEA method, it is expected that the purpose of this study is able to provide an
overview of the elements studied at each stage of the production process, identify
risks in each process and assess risks, also provide information on preventive and
corrective actions against risks so that they can be used as guidelines for company
management. The study began with a focused group discussion to discuss the
documents needed to make a risk assessment in the vitamin C tablet production
process, make FMEA, determine mitigation actions and make an action priority
matrix and a system for monitoring the effectiveness of mitigation actions. Based
on the results of the study of the vitamin C chewable tablet production process, a
total of 300 failure modes were produced, consisting of 237 low risks, 57 medium
risks, and 6 high risks. Based on the quality risk assessment, 10 types of mitigation
actions were obtained which will be carried out consisting of 1 quick wins, 3 major
projects, and 6 actions as fill ins. The quality risk assessment using the FMEA
method has been designed in accordance with the stages of vitamin C lozenges
production. Risks during the entire production process can be identified early to
obtain a reliable production process so the recurring deviations and complaints
are able to be prevented.
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