A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia

A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia

Palm oil industry in Malaysia is facing a stagnant growth in terms of crude palm oil (CPO) production as compared to Indonesia due to three issues namely (i) the scarcity of plantation area, (ii) labour shortage, and (iii) the rising demand from palm-based biodiesel industry. Focusing on these issue...

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Main Author: Mohd Zabid, M. Faeid
Format: Thesis
Language:eng
eng
eng
Published: 2018
Subjects:
QA273-280 Probabilities
Mathematical statistics
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institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
eng
advisor Zainal Abidin, Norhaslinda
Applanaidu, Shri Dewi
topic QA273-280 Probabilities
Mathematical statistics
spellingShingle QA273-280 Probabilities
Mathematical statistics
Mohd Zabid, M. Faeid
A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
description Palm oil industry in Malaysia is facing a stagnant growth in terms of crude palm oil (CPO) production as compared to Indonesia due to three issues namely (i) the scarcity of plantation area, (ii) labour shortage, and (iii) the rising demand from palm-based biodiesel industry. Focusing on these issues, previous studies have been adopted various approaches. However, these non-hybridized methods have some shortcomings and can be improved by hybridization method. Hence, the objective of this research is to determine the optimal policy options to increase CPO production in Malaysia. In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. Five policy variables namely mechanization adoption rate, average replanting, biodiesel mandates in transportation, industrial and 4 other relevant sectors were examined to determine optimal policy values. These five policy variables were tested in three scenarios: year 2017, year 2020, and in phases until 2050. From all the scenarios, the phase optimization emerged as the most effective in producing suitable policy variable values in order to obtain the best possible value of CPO production in year 2050 up to 20 GA population runs. The hybrid of SD-GA through phase optimization process is capable to recommend policies that are plausible to be implemented to avoid unwarranted shock to the industry. Furthermore, the hybrid model provides the ability of identifying the policy variables related to the objective function at any specific time line. From the managerial perspectives, this research helps the stakeholders in palm oil industry towards making a better future investment decision.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Mohd Zabid, M. Faeid
author_facet Mohd Zabid, M. Faeid
author_sort Mohd Zabid, M. Faeid
title A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
title_short A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
title_full A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
title_fullStr A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
title_full_unstemmed A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
title_sort hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in malaysia
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2018
url https://etd.uum.edu.my/6886/1/DepositPermission_s900291.pdf
https://etd.uum.edu.my/6886/2/s900291_01.pdf
https://etd.uum.edu.my/6886/3/s900291_02.pdf
_version_ 1747828122954235904
spelling my-uum-etd.68862021-08-11T02:12:44Z A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia 2018 Mohd Zabid, M. Faeid Zainal Abidin, Norhaslinda Applanaidu, Shri Dewi Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences QA273-280 Probabilities. Mathematical statistics Palm oil industry in Malaysia is facing a stagnant growth in terms of crude palm oil (CPO) production as compared to Indonesia due to three issues namely (i) the scarcity of plantation area, (ii) labour shortage, and (iii) the rising demand from palm-based biodiesel industry. Focusing on these issues, previous studies have been adopted various approaches. However, these non-hybridized methods have some shortcomings and can be improved by hybridization method. Hence, the objective of this research is to determine the optimal policy options to increase CPO production in Malaysia. In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. Five policy variables namely mechanization adoption rate, average replanting, biodiesel mandates in transportation, industrial and 4 other relevant sectors were examined to determine optimal policy values. These five policy variables were tested in three scenarios: year 2017, year 2020, and in phases until 2050. From all the scenarios, the phase optimization emerged as the most effective in producing suitable policy variable values in order to obtain the best possible value of CPO production in year 2050 up to 20 GA population runs. The hybrid of SD-GA through phase optimization process is capable to recommend policies that are plausible to be implemented to avoid unwarranted shock to the industry. Furthermore, the hybrid model provides the ability of identifying the policy variables related to the objective function at any specific time line. From the managerial perspectives, this research helps the stakeholders in palm oil industry towards making a better future investment decision. 2018 Thesis https://etd.uum.edu.my/6886/ https://etd.uum.edu.my/6886/1/DepositPermission_s900291.pdf text eng public https://etd.uum.edu.my/6886/2/s900291_01.pdf text eng public https://etd.uum.edu.my/6886/3/s900291_02.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abdulla, I., Arshad, F. M., Bala, B. K., Noh, K. M., & Tasrif, M. (2014). Impact of CPO export duties on Malaysian palm oil industry. American Journal of Applied Sciences, 11 (8), 1301-1309. Abdullah, R. (2012). An analysis of crude palm oil production in Malaysia. Oil Palm Industry Economic Journal, 12 (2). Abdullah, R., & Wahid, M. B. (2011). 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