Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach

Crude Palm Oil (CPO) industry has emerged as one of the main agricultural commodities and contributes significantly to the national economy. Studies showed process factors such as fresh fruit bunches (FFBs), workers, process, machines and components and working method affect the performance of a CP...

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Main Authors:	JOHN, ANAK INYANG, Magdalene, Andrew Munot
Format:	Thesis
Language:	English English English
Published:	2024
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://ir.unimas.my/id/eprint/45418/6/DSVA_John%20Inyang.pdf http://ir.unimas.my/id/eprint/45418/7/Thesis%20Master_John%20Inyang.ftext.pdf http://ir.unimas.my/id/eprint/45418/8/Thesis%20Master_John%20Inyang%20-%2024%20pages.pdf
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institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English English English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery JOHN, ANAK INYANG Magdalene, Andrew Munot Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach
description	Crude Palm Oil (CPO) industry has emerged as one of the main agricultural commodities and contributes significantly to the national economy. Studies showed process factors such as fresh fruit bunches (FFBs), workers, process, machines and components and working method affect the performance of a CPO production system. However, there is no study that investigate the performance of CPO production system considering these process factors and the possibility of interactions between these process factors. The first objective is to develop a simulation model of CPO production. Second, to analyse the process factors and simulated processing times using ANOVA to identify significant factors and interactions between factors. Third, to propose managerial strategies to reduce the processing time. The research tools used are discrete event simulation (DES), design of experiment (DOE) and analysis of variance (ANOVA). Four industrial cases are considered; for Case A & Case B the simulated operation time are 8 hours and 16 hours, respectively. While for Case C & D the simulated FFBs quantity are 250 metric tonnes and 1250 metric tonnes, respectively. For Case A & B findings showed process factors such as FFBs quantity, FFBs inter-arrival time and tipping machine repair time are significant. Also, for Case A & B, the interaction between FFBs quantity and inter-arrival time is significant. For Case C & D, tipping machine repair time and weighbridge machine repair time are significant. For Case C, there is no significant interaction between factors, while for Case D, the interaction between weighing time and weighbridge repair time is significant. In sum, availabilities of FFBs quantity and tipping machine are crucial to achieve short processing time. Thus, management of palm oil mill must implement strategies to sustain availabilities of FFBs and tipping machine.
format	Thesis
qualification_level	Master's degree
author	JOHN, ANAK INYANG Magdalene, Andrew Munot
author_facet	JOHN, ANAK INYANG Magdalene, Andrew Munot
author_sort	JOHN, ANAK INYANG
title	Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach
title_short	Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach
title_full	Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach
title_fullStr	Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach
title_full_unstemmed	Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach
title_sort	modeling and analysis of process factors’ effect on performance in crude palm oil processing time: a simulation-based approach
granting_institution	FACULTY OF ENGINEERING
granting_department	MECHANICAL AND MANUFACTURING
publishDate	2024
url	http://ir.unimas.my/id/eprint/45418/6/DSVA_John%20Inyang.pdf http://ir.unimas.my/id/eprint/45418/7/Thesis%20Master_John%20Inyang.ftext.pdf http://ir.unimas.my/id/eprint/45418/8/Thesis%20Master_John%20Inyang%20-%2024%20pages.pdf
_version_	1811771577596903424
spelling	my-unimas-ir.454182024-07-29T04:43:13Z Modeling and Analysis of Process Factors’ Effect on Performance in Crude Palm Oil Processing Time: A Simulation-Based Approach 2024 JOHN, ANAK INYANG Magdalene, Andrew Munot TJ Mechanical engineering and machinery Crude Palm Oil (CPO) industry has emerged as one of the main agricultural commodities and contributes significantly to the national economy. Studies showed process factors such as fresh fruit bunches (FFBs), workers, process, machines and components and working method affect the performance of a CPO production system. However, there is no study that investigate the performance of CPO production system considering these process factors and the possibility of interactions between these process factors. The first objective is to develop a simulation model of CPO production. Second, to analyse the process factors and simulated processing times using ANOVA to identify significant factors and interactions between factors. Third, to propose managerial strategies to reduce the processing time. The research tools used are discrete event simulation (DES), design of experiment (DOE) and analysis of variance (ANOVA). Four industrial cases are considered; for Case A & Case B the simulated operation time are 8 hours and 16 hours, respectively. While for Case C & D the simulated FFBs quantity are 250 metric tonnes and 1250 metric tonnes, respectively. For Case A & B findings showed process factors such as FFBs quantity, FFBs inter-arrival time and tipping machine repair time are significant. Also, for Case A & B, the interaction between FFBs quantity and inter-arrival time is significant. For Case C & D, tipping machine repair time and weighbridge machine repair time are significant. For Case C, there is no significant interaction between factors, while for Case D, the interaction between weighing time and weighbridge repair time is significant. 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