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Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation

One of the important factors that contribute to the stagnant growth of Malaysia's crude palm oil production is the accumulation of ageing oil palm plantation area. Given the scarcity of new plantation area in Malaysia, it is very important that an optimal replanting rate has to be determined to...

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Main Authors: Mohd Faeid, Mohd Zabid, Zainal Abidin, Norhaslinda, Applanaidu, Shri Dewi
Format: Article
Published: Inderscience Enterprises Ltd 2020
Subjects:
HC Economic History and Conditions
Online Access:http://repo.uum.edu.my/27500/
http://doi.org/10.1504/IJIDS.2020.106728
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spelling my.uum.repo.275002020-09-27T06:50:03Z http://repo.uum.edu.my/27500/ Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation Mohd Faeid, Mohd Zabid Zainal Abidin, Norhaslinda Applanaidu, Shri Dewi HC Economic History and Conditions One of the important factors that contribute to the stagnant growth of Malaysia's crude palm oil production is the accumulation of ageing oil palm plantation area. Given the scarcity of new plantation area in Malaysia, it is very important that an optimal replanting rate has to be determined to decrease the accumulation of ageing area. The objective of this study is to determine an optimal replanting rate for oil palm industry in Malaysia. This study compared the trend results of fresh fruit bunches (FFB) yield using base run system dynamics (SD) and SD with optimisation analysis. Findings indicate that the proposed optimal replanting rate based on SD revealed the maximum production of the FFB yield by year 2050 compared to base run analysis. Findings from this study proposed the appropriate planting strategy to ensure the continuous supply of palm oil without significant disruption if high replanting rate has been implemented. Inderscience Enterprises Ltd 2020 Article PeerReviewed Mohd Faeid, Mohd Zabid and Zainal Abidin, Norhaslinda and Applanaidu, Shri Dewi (2020) Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation. International Journal of Information and Decision Sciences, 12 (2). p. 136. ISSN 1756-7017 http://doi.org/10.1504/IJIDS.2020.106728 doi:10.1504/IJIDS.2020.106728
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
topic HC Economic History and Conditions
spellingShingle HC Economic History and Conditions
Mohd Faeid, Mohd Zabid
Zainal Abidin, Norhaslinda
Applanaidu, Shri Dewi
Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
description One of the important factors that contribute to the stagnant growth of Malaysia's crude palm oil production is the accumulation of ageing oil palm plantation area. Given the scarcity of new plantation area in Malaysia, it is very important that an optimal replanting rate has to be determined to decrease the accumulation of ageing area. The objective of this study is to determine an optimal replanting rate for oil palm industry in Malaysia. This study compared the trend results of fresh fruit bunches (FFB) yield using base run system dynamics (SD) and SD with optimisation analysis. Findings indicate that the proposed optimal replanting rate based on SD revealed the maximum production of the FFB yield by year 2050 compared to base run analysis. Findings from this study proposed the appropriate planting strategy to ensure the continuous supply of palm oil without significant disruption if high replanting rate has been implemented.
format Article
author Mohd Faeid, Mohd Zabid
Zainal Abidin, Norhaslinda
Applanaidu, Shri Dewi
author_facet Mohd Faeid, Mohd Zabid
Zainal Abidin, Norhaslinda
Applanaidu, Shri Dewi
author_sort Mohd Faeid, Mohd Zabid
title Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
title_short Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
title_full Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
title_fullStr Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
title_full_unstemmed Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
title_sort determining optimal replanting rate in palm oil industry, malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation
publisher Inderscience Enterprises Ltd
publishDate 2020
url http://repo.uum.edu.my/27500/
http://doi.org/10.1504/IJIDS.2020.106728
_version_ 1680323122402689024
score 13.211869

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