Risk Analysis of Conveyor Material Handling in the Production Process of Crude Palm Oil and Palm Kernel Oil with FMECA and FTA Methods

Oil palm is one type of plantation crop that occupies an important position in the agricultural sector and the plantation sector, and is a mainstay commodity of Indonesia whose development is very rapid. Good Material Handling is minimizing material handling costs, minimizing disruption or risk and delays in the production process. One of the companies engaged in the palm oil industry is PT. BSI which is a company engaged in the palm fruit processing industry. The products produced are crude palm oil (CPO), kernel, and fiber which implement a material handling system. However, the material handling process that is applied still experiences disturbances whose risks have an impact on the production process. So that researchers want to know the value of material handling risks that occur at PT.BSI with FMECA and FTA methods. The results of this study are at the risk identification stage using the FMECA method obtained six lists of risks that have an RPN value above 200 this is included in the very high and Unacceptable category. Then after further analysis using the FMECA method also that the six risks have decreased where the RPN value is less than 180 so that it is included in the high and tolerable categories. Then for the FTA analysis that the problem of these risks, namely conveyor trips and conveyor blockages, needs to be checked on a regularly scheduled conveyor leaf and implement a routine maintenance schedule and provide training to operators before carrying out work.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-20
DOI
https://doi.org/10.5281/zenodo.13820959
Primary Topic
Management and Optimization Techniques
Type
article
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article

Risk Analysis of Conveyor Material Handling in the Production Process of Crude Palm Oil and Palm Kernel Oil with FMECA and FTA Methods

Zenodo (CERN European Organization for Nuclear Research)
Management and Optimization Techniques
article

Risk Analysis of Conveyor Material Handling in the Production Process of Crude Palm Oil and Palm Kernel Oil with FMECA and FTA Methods

article en

Abstract

Oil palm is one type of plantation crop that occupies an important position in the agricultural sector and the plantation sector, and is a mainstay commodity of Indonesia whose development is very rapid. Good Material Handling is minimizing material handling costs, minimizing disruption or risk and delays in the production process. One of the companies engaged in the palm oil industry is PT. BSI which is a company engaged in the palm fruit processing industry. The products produced are crude palm oil (CPO), kernel, and fiber which implement a material handling system. However, the material handling process that is applied still experiences disturbances whose risks have an impact on the production process. So that researchers want to know the value of material handling risks that occur at PT.BSI with FMECA and FTA methods. The results of this study are at the risk identification stage using the FMECA method obtained six lists of risks that have an RPN value above 200 this is included in the very high and Unacceptable category. Then after further analysis using the FMECA method also that the six risks have decreased where the RPN value is less than 180 so that it is included in the high and tolerable categories. Then for the FTA analysis that the problem of these risks, namely conveyor trips and conveyor blockages, needs to be checked on a regularly scheduled conveyor leaf and implement a routine maintenance schedule and provide training to operators before carrying out work.

Zenodo (CERN European Organization for Nuclear Research)
Institut Teknologi Nasional Malang (ID)
Openalex Percentile: Top 39%
Management and Optimization Techniques
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Risk Analysis of Conveyor Material Handling in the Production Process of Crude Palm Oil and Palm Kernel Oil with FMECA and FTA Methods · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS