The development of a discrete event simulation (DES) model for evaluating the mechanized equipment in the Malaysia palm oil industry
The palm oil industry forms the backbone of the Malaysian agricultural economy and is indexed as one of the National Key Economic Areas (NKEAs). Despite the rapid demand for palm oil, the labor shortage caused by the Covid 19 pandemic has reduced harvest activity since the dependability on human...
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| Main Authors: | , , , , , , , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
AIP Publishing LLC
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/113209/9/113209_The%20development%20of%20a%20discrete%20event%20simulation.pdf http://irep.iium.edu.my/113209/10/113209_The%20development%20of%20a%20discrete%20event%20simulation_Scopus.pdf http://irep.iium.edu.my/113209/ https://pubs.aip.org/aip/acp/article-abstract/2883/1/050006/3280274/The-development-of-a-discrete-event-simulation-DES?redirectedFrom=fulltext https://doi.org/10.1063/5.0206626 |
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| Summary: | The palm oil industry forms the backbone of the Malaysian agricultural economy and is indexed as one of the
National Key Economic Areas (NKEAs). Despite the rapid demand for palm oil, the labor shortage caused by the Covid
19 pandemic has reduced harvest activity since the dependability on human labor is still high. Based on this scenario, the
way forward to resolve the issue is through the implementation of mechanized equipment to assist plantation activities.
However, the output rate based on the implementation of mechanized equipment in the Malaysian palm oil industry is still
unclear. In this regard, this paper aims to develop a simulation model that mimics the operation of the mechanized
equipment in the palm oil mill using a discrete event simulation (DES) approach. The related mechanized equipment has
been considered in the simulation model to resemble the palm oil mill operation, namely clarification, extraction,
sterilization, and stripping stations. As a result, it is found that the sterilization process contributes to the longest waiting
time (122.89 seconds) and the highest number of waiting (3.04 tons). In contrast, stripping stations turn the lowest
percentage of resource utilization. By improving the utilization of identified mechanized equipment, the dependability on
human labor can be reduced gradually. Consequently, it will increase the harvest output known as Fresh Fruit Branches
(FFB) yield and crude palm oil (CPO) production. |
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