Mohammad Fadzli Ramli
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Preferred name
Mohammad Fadzli Ramli
Official Name
Mohammad Fadzli , Ramli
Alternative Name
Ramli, Mohammad Fadzli
Ramli, M. F.
Fadzli, Mohammad
Fadzli Ramli, Mohammad
Main Affiliation
Scopus Author ID
55030503900
Researcher ID
GLT-7620-2022

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  • Publication
    Defect Factor Analysis Using Statistical Process Control Analysis: A Case Study in Spices Defected Packaging Production
    ( 2021-01-01)
    Idris N.I.
    ;
    Tan Chan Sin
    ;
    Safwati Ibrahim
    ;
    Mohammad Fadzli Ramli
    ;
    Rosmaini Ahmad
    The problems faced by food and beverages in Malaysia are still the emergence of defect products in every production and it escaped from quality control checked thus it reaches the consumer. This study aims to analyze the variability of defects in the production line in XX Food Industries Sdn. Bhd., using p-chart control and fishbone diagram. This company produce a food spices products whether it is well within the control or not and looking for the factors that causing to the defect products. Data collection and information obtained from interviews and documentation for the number of products and production defects for three months in XX Food Industries. The methods used to analyze products quality control by using p-chart, one of the statistical process control and fishbone diagram to determine the cause of defects products. The defects that usually occur in the production line are types of packaging defects such as leaking sachets, eyemark on the sachet sealing, and less product fill in the sachet that cause lightweight sachet. Results showed that products quality control in XX Food Industries Sdn. Bhd. is still controlled by the largest type of defects that are leaking with defects percentage 46.3 and with 36.28% percentage of defects caused by eyemark. Then, followed by defect caused by lightweight is 17.5%. Factors causing defects products are human, machine, work methods, and materials. In this case unskilled worker and the material of the plastic wrapping for the spices packet are primary cause of defects products. This study is useful in providing useful information in identifying causes for rejection or defect analysis. This research also helpful in proposing optimal solution to be implemented for productivity and quality improvement.
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