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Proceeding Paper

Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method †

by
Nismah Panjaitan
*,
Juni Arta Lubis
,
Niken Kristin Silitonga
and
Muhammad Zaky Faris
Department of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara, Medan 20155, Indonesia
*
Author to whom correspondence should be addressed.
Presented at the 8th Mechanical Engineering, Science and Technology International Conference, Padang Besar, Perlis, Malaysia, 11–12 December 2024.
Eng. Proc. 2025, 84(1), 96; https://doi.org/10.3390/engproc2025084096
Published: 12 June 2025

Abstract

:
A palm oil company based in Bangka is actively expanding its operations in the palm oil processing industry. The company specializes in producing crude palm oil (CPO) and palm kernel, with its production process encompassing five key stages: weighing, sterilization, threshing, pressing, and clarification. Oil loss, especially at the pressing station, is one of the company’s biggest problems. Nuts, fibers, empty bunches, and effluent are some of the sources of oil loss in CPO production. Since extreme losses that exceed set norms can cause serious inefficiencies and financial repercussions, it is imperative that the organization identifies and mitigates the underlying causes of oil loss. One option that the business could use is the fault tree analysis (FTA) method, which offers a methodical way to pinpoint the root causes of production inefficiencies to solve this problem. According to current assessments, empty bunches caused the largest average oil loss over a one-month period, with a loss rate of 0.11%. Oil loss at the pressing station is caused by a number of factors, such as inadequate maintenance practices, non-compliance with established work procedures, suboptimal ripeness levels of harvested palm fruit, and operator neglect in maintaining optimal machine pressure in accordance with company standards. To reduce oil loss in the production process and increase efficiency, these concerns need to be addressed.

1. Introduction

Crude palm oil (CPO) is a vegetable oil obtained from the mesocarp of the oil palm fruit. Crude palm oil (CPO) is a raw oil that still contains sap [1]. Further processing of CPO results in the production of palm oil that can be consumed and used for various other applications. The oil palm fruit consists of an outer layer (exocarp), fruit pulp that contains oil within a fiber matrix (mesocarp), a middle layer (endocarp), and a kernel that also contains oil and is used to produce crude palm oil (CPO) [2].
PT. XYZ is an industrial firm that processes palm oil, where the final product is crude palm oil (CPO). CPO is created in six steps before being marketed to third parties. The oil is initially extracted using a press machine. The press machine extracts crude oil from the fruit pulp, which is then refined into a more marketable oil. At this point, the machine is intended to generate as much oil as possible while minimizing residue. Machine failures can arise as a result of inadequate maintenance or unforeseen damage. The quality of the palm oil is influenced by the fruit in the plantation; during the processing of palm oil, the aim is merely to extract it and minimize oil loss as much as possible. The fruit that has been crushed in the digester unit is then pressed in the screw press unit.
A hydraulic press is a machine that uses the pressure of a fluid to compress or shape a workpiece. This machine adheres to Pascal’s Law. Hydraulic machines are frequently employed throughout many sectors and are commonly employed in machine manufacturing and assembly, transporting, lifting, injection molding, pressing, and other operations. As a result, understanding the components of hydraulic systems is critical in the industrial sector [3]. The loss of oil leads to losses for the company, as the yield of oil obtained will decrease. Thus, efforts are made to minimize oil losses as much as possible and the pressure of the screw press that will be applied during the pressing process is given great attention [4].
The machines at the press station are monitored by staff or employees assigned according to their respective job descriptions. The staff are coordinated to supervise and check the machines, with their findings reported to the foreman. During the inspection or repair of malfunctioning machines, the staff use personal protective equipment such as goggles, helmets, and gloves. This is enforced to minimize the risk of accidents while working, such as eye injuries caused by small foreign objects like gravel or dust. The company needs to provide employees with an understanding to further enhance machine effectiveness by improving team performance in the work unit and replacing components with new ones made with better materials than before [5].

2. Material and Methods

2.1. Data Collection

In this research, the data collected pertain to a palm oil company located in Bangka Regency, Bangka Belitung Islands, Indonesia. Specifically, the data include the average oil loss from the press machine over a one-month period (24 June 2024–24 July 2024), obtained from the company’s laboratory records.

2.2. Crude Palm Oil (CPO) Yield

The percentage of palm oil produced from the processing of fresh fruit bunches (FFBs) by small and medium enterprises (SMEs) into crude palm oil is also known as palm oil yield (CPO). The type of fruit and harvesting technique are the two main factors that affect the CPO yield rate. The ripeness of the fruit bunches greatly influences the oil yield at the factory. Some causes of below-standard oil yield include the following [6]:
  • The harvested bunches do not meet the ripeness criteria.
  • The harvesting location was not fully harvested, resulting in an incomplete post-harvest process, causing the fruit fraction to drop from 3 to 5.
  • On the harvest day, the fruit bunches were not fully processed at the factory.
  • The presence of gravel mixed with dirt like dust, soil, sand, stones, etc.
  • The percentage of damaged fruit is very high.
  • The fruit bunches that have been stripped or removed from the tanks still contain trapped oil.
  • The oil is still trapped in the fibers and shells.
  • Oil that separates from water during the purification process.

2.3. Oil Losses

One of the problems that causes CPO to deteriorate is oil loss, which occurs due to the lengthy process that leads to oil loss. The company wants to minimize oil loss as much as possible during the processing of palm fruit. Every palm oil processing plant experiences oil loss during the processing of FFBs to produce CPO. This is the result of errors in the operation of production units or equipment that does not work properly [7].

Oil Loss Points

The palm oil company has several locations where oil is lost on the press machines. The pressing station is the location of the first process that extracts oil through crushing and pressing. The results of the pressing consist of oil and pulp, which includes empty bunches, fiber, and nuts. The results of the pressing from the pulp were examined in the laboratory to determine the percentage of oil loss in the press cake from the screw press machine. The standard oil losses in the press machine are shown in Table 1.

2.4. Method of Fault Tree Analysis (FTA)

FTA is an easy-to-use method and is referred to as an analytical technique. A fault tree is a graphical representation that contains a combination of parallel or pilot errors leading to a predetermined undesirable event. It can also be used as a logical connection diagram of basic control events. FTA is a graphical pattern model that functions to identify failures or unexpected problems in a system [8].
The steps to use fault tree analysis (FTA) are as follows [9]:
  • Determine the initial event.
  • Set boundaries of the FTA.
  • Check the system to understand the relationships between various elements and determine the earliest event to avoid errors.
  • Create a fault tree starting from the earliest event and proceed downwards.
  • Carry out fault tree analysis to find ways to overcome failures.
  • To avoid mistakes, create a corrective action plan.

2.5. Fishbone Diagram

The fishbone diagram is also known as a cause-and-effect diagram. It is given this name because this diagram shows the relationship between the source of a problem and its consequences. The fishbone diagram, which explains in detail the reasons behind the problem, is very useful in helping organizations to solve problems thoroughly. In addition, the fishbone diagram is a tool used by the company to improve quality [10].
To use a fishbone diagram, we must determine the department, division, and type of business in question. The causes that affect the issues impacting the quality will also be influenced by differences between departments, divisions, and types of businesses. The process of creating a fishbone diagram is as follows [11]:
  • In the first step, the problem to be analyzed is defined as the consequence. Visually, on a fishbone diagram, this issue will become the “fish head”.
  • After identifying the issues that have occurred, the problem categories will be identified. The causes of problems can be categorized into 6 groups: materials, machines and equipment, people, methods, environment, and measurement. The group causing this problem lies in the fishbone diagram on the fish’s fin. This determination is fully based on the effects of brainstorming and interviews, which are acknowledged.
  • Determine potential causes through brainstorming and interviews. Every category of problem has a cause that needs to be explained. This can be determined based on the results of interviews and brainstorming, which will dictate the position in the fishbone diagram, specifically the category where the concept should be placed.
  • Evaluate and agree on the possible reasons as much as possible. After each category is filled, the most likely reasons are sought among all the reasons. Then, re-examine the causes that have been created and determine the cause that seems most likely to occur in the fishbone diagram.

3. Results and Discussion

The data used in this research are production data concerning defective products in the form of oil losses. The stages at which the statistical process control method was used for analysis are shown in Table 2.
From Table 2, it can be seen that in the period from 24 June 2024 to 24 July 2024, processing occurred on 27 days. The standard oil losses from the fiber set by the company are 0.2–0.3%.

3.1. Histogram Diagram

A histogram is a tool for displaying frequency distribution that looks like a bar graph. The frequency distribution of the collected data shows the frequency at which each distinct value occurs [12].
The histogram is used to illustrate the comparative average levels of oil losses found in the empty bunches from the pressing results on the screw press machine according to the company’s standards.
Based on Figure 1, the histogram above shows that the average oil loss from empty fruit bunches is 0.42, which is higher than the company’s standard of 0.31.

3.2. Control Chart

Control charts are a visual aid for tracking and assessing whether a process or activity is subject to statistical quality control in order to fix issues and enhance output. Although deviations will be seen on the control chart, control charts do not reveal the reason behind the deviations; instead, they display changes in the data over time [7].
The results of the oil loss testing are visualized using a control chart with a lower control limit (LCL) of 0.20% and an upper control limit (UCL) of 0.31%, which represent the company’s standard for oil loss from empty fruit bunches. The diagram of the oil loss testing results for empty fruit bunches can be seen in Figure 2.
The control chart above illustrates that there are oil losses that exceed the standards set by the company. In the empty bunch ash, there are 12 points that are outside the company’s standard UCL and 15 points that are below the UCL. It is evident that the oil losses in the empty bunch ash still exceed the norms established by the company, but they remain within the control limits.

3.3. Fishbone Diagram

The problem-solving approach to be undertaken is to identify the occurrence of losses in the empty bunch waste. The problem analysis will be conducted using a cause-and-effect diagram, also known as a fishbone diagram, as Figure 3. A fishbone diagram is a tool used to identify and review the potential causes that may arise from a specific effect and then separate the root causes. The analysis was conducted by reviewing four aspects: work methods, people, materials, and machines used in the screw press at PT. XYZ.
Based on the fishbone diagram above, the causes of losses in empty bunches in the screw press machine can be identified.
1.
Humans
Humans are one of the factors that influence the quality of products during the manufacturing process. Humans have a vital role in this regard since they regulate the other three components. Human error in this situation is associated with hydraulic pressure, specifically pressure that does not meet norms and pressure that exceeds limits. Both can have an impact on the overall process efficiency.
2.
Materials
The quality of raw materials, specifically fresh fruit bunches (FFBs), has a significant impact on the output. Unripe FFBs have a high moisture level but low oil content, making them difficult to process and resulting in low-quality oil.
3.
Machines
Machines play a crucial role in the success of the production process. If the machine is not well maintained, its components will wear out and break quickly. In this case, the press machine was damaged due to a lack of maintenance.
4.
Work Methods
The issue with the work method is that the standards used for hydraulic pressure exceed the established standards, and the techniques employed in pressing do not comply with the standards.

3.4. Fault Tree Analysis

Oil losses from empty fruit bunches in the processing of crude palm oil occurring at PT. XYZ were analyzed using the fault tree analysis (FTA) method, as Figure 4. Fault tree analysis is a systematic method used to analyze the causes of a risk.
Based on the fault tree analysis (FTA) above, the causes of oil losses are attributed to several factors, namely the inadequately trained human resources in performing tasks, the decline in machine performance due to inconsistency in preventive maintenance actions, the presence of unripe fruit due to improper sorting, and the incorrect pressure regulation in the work method.

3.5. Tree Diagram

Problem-solving caused by several factors can be represented in a tree diagram. A tree diagram is a tool used to break down any concept, such as policies, targets, objectives, ideas, problems, tasks, or activities into lower and more detailed levels [13]. A tree diagram starts with one item that branches into two or more stems; then, each stem will branch into two or more branches and so on. The results of creating a problem-solving tree diagram for oil losses in empty fruit bunches can be seen in Figure 5.

4. Conclusions

Based on the problem-solving evaluation using a tree diagram, there are several improvement suggestions to reduce oil losses in empty fruit bunches in crude palm oil (CPO) production. First, improving worker performance at the press station through clear instructions before shift changes and regular training for machine operators is very important. In addition, scheduled maintenance and repair of machines can prevent component wear, thereby maintaining machine efficiency and minimizing oil losses.
Next, the quality of raw materials also becomes a crucial factor. Thorough inspection to separate fresh fruit from residual fruit and monitoring the process at the stripping station can reduce fruit damage and ensure the bunches are perfectly detached. On the other hand, adjusting the pressure settings in the extraction process must be conducted carefully to achieve the right balance, while maintenance and calibration of the equipment also need to be considered. Through these steps, the company is expected to improve production efficiency and the quality of the produced CPO.

Author Contributions

Conceptualization, N.P. and J.A.L.; methodology, N.P., J.A.L., N.K.S. and M.Z.F.; validation, N.P.; formal analysis, N.P. and J.A.L.; data analysis, N.P. and J.A.L.; supervision, N.P.; writing—original draft preparation, J.A.L.; writing—review and editing, J.A.L. and N.K.S.; visualization, N.P.; project administration, N.P., J.A.L., N.K.S. and M.Z.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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Figure 1. Comparison of average oil losses compared to company standards.
Figure 1. Comparison of average oil losses compared to company standards.
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Figure 2. Control of oil losses from empty fruit branches in palm oil mills.
Figure 2. Control of oil losses from empty fruit branches in palm oil mills.
Engproc 84 00096 g002
Figure 3. Fishbone diagram.
Figure 3. Fishbone diagram.
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Figure 4. Fault tree analysis (FTA).
Figure 4. Fault tree analysis (FTA).
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Figure 5. Problem-solving tree diagram for oil loss in empty bunch pulp.
Figure 5. Problem-solving tree diagram for oil loss in empty bunch pulp.
Engproc 84 00096 g005
Table 1. Standard oil losses.
Table 1. Standard oil losses.
Losses of CPO
ParameterLimit (%)
Empty Bunch0.20–0.30 Max
Fiber0.58 Max
Nut0.06 Max
Effluent0.55 Max
Table 2. Data on oil losses from 24 June 2024 to 24 July 2024.
Table 2. Data on oil losses from 24 June 2024 to 24 July 2024.
No.DateOil Losses from Empty Fruit Bunches
124 June 20240.72
225 June 20240.44
326 June 20240.25
427 June 20240.41
528 June 20240.53
629 June 20240.31
71 July 20240.27
82 July 20240.35
93 July 20240.36
104 July 20240.38
115 July 20240.49
126 July 20240.50
138 July 20240.45
149 July 20240.35
1510 July 20240.27
1611 July 20240.35
1712 July 20240.45
1813 July 20240.49
1915 July 20240.67
2016 July 20240.59
2117 July 20240.55
2218 July 20240.43
2319 July 20240.32
2420 July 20240.38
2522 July 20240.44
2623 July 20240.34
2724 July 20240.41
Total11.50
Average0.43
Standard0.31
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MDPI and ACS Style

Panjaitan, N.; Lubis, J.A.; Silitonga, N.K.; Faris, M.Z. Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method. Eng. Proc. 2025, 84, 96. https://doi.org/10.3390/engproc2025084096

AMA Style

Panjaitan N, Lubis JA, Silitonga NK, Faris MZ. Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method. Engineering Proceedings. 2025; 84(1):96. https://doi.org/10.3390/engproc2025084096

Chicago/Turabian Style

Panjaitan, Nismah, Juni Arta Lubis, Niken Kristin Silitonga, and Muhammad Zaky Faris. 2025. "Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method" Engineering Proceedings 84, no. 1: 96. https://doi.org/10.3390/engproc2025084096

APA Style

Panjaitan, N., Lubis, J. A., Silitonga, N. K., & Faris, M. Z. (2025). Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method. Engineering Proceedings, 84(1), 96. https://doi.org/10.3390/engproc2025084096

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