Simulation Techniques in Sugarcane Transportation Model Using R Programming Language

The R programming language is generally known for its strength in Monte Carlo simulations, and numerical computing. This study will try to utilize R for discrete event simulations, namely in transportation systems, especially sugarcane transportation. The purpose of this paper is to study the performance of the sugarcane transportation system from the plantation to the factory, by utilizing the R programming language. The things that will be studied are to obtain changes in the system parameters so that more optimal performance is obtained. These parameters include the time required for the sugarcane to be in the transportation system, the length of the sugarcane pile in the plantation before being transported, the amount of resources needed for all transportation activities (loading, transporting and unloading), the number of transport equipment, loading equipment and unloading equipment needed, so that the harvest target is met and the waiting time for the sugarcane to be milled is as minimal as possible. As well as the level of utility of all resources provided in the system. The stages in this study include 1) literature review, 2) describing the sugarcane transportation system, 3) building assumptions and system constraints, 4) designing the transportation system conceptually, 5) developing programming code, 6) model testing/verification, 7) model validation, and 8) conducting experiments on the model. The results of the analysis of the model output indicate that the “open source R” programming language can be effectively applied to model the sugarcane transportation system.

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Publication Details

Journal
Engineering MAthematics and Computer Science (EMACS) Journal
Published
2024-09-30
DOI
https://doi.org/10.21512/emacsjournal.v6i3.12344
Primary Topic
Sugarcane Cultivation and Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation Techniques in Sugarcane Transportation Model Using R Programming Language

I Gusti Agung Anom Yudistira, Asysta Amalia Pasaribu, Aryusmar Aryusmar
Engineering MAthematics and Computer Science (EMACS) Journal
Sugarcane Cultivation and Processing
article

Simulation Techniques in Sugarcane Transportation Model Using R Programming Language

I Gusti Agung Anom Yudistira, Asysta Amalia Pasaribu, Aryusmar Aryusmar
article en

Abstract

The R programming language is generally known for its strength in Monte Carlo simulations, and numerical computing. This study will try to utilize R for discrete event simulations, namely in transportation systems, especially sugarcane transportation. The purpose of this paper is to study the performance of the sugarcane transportation system from the plantation to the factory, by utilizing the R programming language. The things that will be studied are to obtain changes in the system parameters so that more optimal performance is obtained. These parameters include the time required for the sugarcane to be in the transportation system, the length of the sugarcane pile in the plantation before being transported, the amount of resources needed for all transportation activities (loading, transporting and unloading), the number of transport equipment, loading equipment and unloading equipment needed, so that the harvest target is met and the waiting time for the sugarcane to be milled is as minimal as possible. As well as the level of utility of all resources provided in the system. The stages in this study include 1) literature review, 2) describing the sugarcane transportation system, 3) building assumptions and system constraints, 4) designing the transportation system conceptually, 5) developing programming code, 6) model testing/verification, 7) model validation, and 8) conducting experiments on the model. The results of the analysis of the model output indicate that the “open source R” programming language can be effectively applied to model the sugarcane transportation system.

Engineering MAthematics and Computer Science (EMACS) JournalVol. 6(3)
Binus University (ID)
Binus University
Openalex Percentile: Top 88%
Sugarcane Cultivation and Processing
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