Engine Room Module Installation System Risk Analysis Based on Bayesian Network
Implementation of system installation risk on engine room module aims to anticipate ship production delays. However, in its implementation, there is the problem of ship delivery delays in various shipbuilding companies. This research will analyze the risk analysis of the installation of the engin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2024-01-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/5136 |
| _version_ | 1797347138366078976 |
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| author | Intan Baroroh Buana Ma’ruf Minto Basuki Didik Hardianto Tri Agung Kristiyono |
| author_facet | Intan Baroroh Buana Ma’ruf Minto Basuki Didik Hardianto Tri Agung Kristiyono |
| author_sort | Intan Baroroh |
| collection | DOAJ |
| description | Implementation of system installation risk
on engine room module aims to anticipate ship production delays. However, in its implementation, there is the
problem of ship delivery delays in various shipbuilding companies. This research will analyze the risk analysis of the
installation of the engine room module system by identifying risk factors and
parameters that affect performance as a hazard identification that has the
potential to cause delivery delays.
The object of the research is the Indonesian Navy's
Auxiliary Hospital Ship, which has 6 zones with a pilot project developed in
zone 2. This includes an engine room that contains important constructions in
the form of a main motor foundation, auxiliary motor, and other machinery,
where the system was integrated.
Moreover, there are some works consisting of
construction, outfitting, and commissioning which are very complicated and
require high accuracy. The aim of the implementation of risk analysis of the installation
system in the engine room’s module is to assess potential risks, the
effect of risk on project delays, and project cost overruns. The research
method uses a Bayesian network because it is able to assess the most potential
risks and predict the possibility of delays at network nodes. The primary risk is associated with electrical
activities, specifically electrical
outfitting on wiring, clamping, and compound sub-components with a probability
of (0.0002560) in the Machinery Outfitting and Electrical Department. This risk stems from
inappropriate steps during drawing revisions, which have the potential to cause
delays in equipment installation, cable material procurement, and the
generation of cable cutting data. Therefore, early coordination with production
planning control, design, and the supply chain is crucial. |
| first_indexed | 2024-03-08T11:43:20Z |
| format | Article |
| id | doaj.art-3abc198c83d24b8ca1c023cc1795b4ec |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-03-08T11:43:20Z |
| publishDate | 2024-01-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-3abc198c83d24b8ca1c023cc1795b4ec2024-01-25T01:56:09ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002024-01-01151758610.14716/ijtech.v15i1.51365136Engine Room Module Installation System Risk Analysis Based on Bayesian NetworkIntan Baroroh0Buana Ma’ruf1Minto Basuki2Didik Hardianto3Tri Agung Kristiyono4Department of Naval Architecture and Ship Building, Marine Science and Technology, Hang Tuah University (UHT), Jalan Arief Rahman Hakim 150 Surabaya, East Java 60111, IndonesiaThe National Research and Innovation Agency (BRIN), Jalan Hidro Dinamika, Keputih, Sukolilo, Surabaya. East Java 60111, IndonesiaDepartment of Marine Engineering Institut Teknologi Adhi Tama Surabaya (ITATS), Jalan Arief Rahman Hakim 100 Surabaya, East Java 60117, IndonesiaDepartment of Naval Architecture and Ship Building, Marine Science and Technology, Hang Tuah University (UHT), Jalan Arief Rahman Hakim 150 Surabaya, East Java 60111, IndonesiaDepartment of Naval Architecture and Ship Building, Marine Science and Technology, Hang Tuah University (UHT), Jalan Arief Rahman Hakim 150 Surabaya, East Java 60111, IndonesiaImplementation of system installation risk on engine room module aims to anticipate ship production delays. However, in its implementation, there is the problem of ship delivery delays in various shipbuilding companies. This research will analyze the risk analysis of the installation of the engine room module system by identifying risk factors and parameters that affect performance as a hazard identification that has the potential to cause delivery delays. The object of the research is the Indonesian Navy's Auxiliary Hospital Ship, which has 6 zones with a pilot project developed in zone 2. This includes an engine room that contains important constructions in the form of a main motor foundation, auxiliary motor, and other machinery, where the system was integrated. Moreover, there are some works consisting of construction, outfitting, and commissioning which are very complicated and require high accuracy. The aim of the implementation of risk analysis of the installation system in the engine room’s module is to assess potential risks, the effect of risk on project delays, and project cost overruns. The research method uses a Bayesian network because it is able to assess the most potential risks and predict the possibility of delays at network nodes. The primary risk is associated with electrical activities, specifically electrical outfitting on wiring, clamping, and compound sub-components with a probability of (0.0002560) in the Machinery Outfitting and Electrical Department. This risk stems from inappropriate steps during drawing revisions, which have the potential to cause delays in equipment installation, cable material procurement, and the generation of cable cutting data. Therefore, early coordination with production planning control, design, and the supply chain is crucial.https://ijtech.eng.ui.ac.id/article/view/5136bayesian networkinstallation engine room modulerisk analysis |
| spellingShingle | Intan Baroroh Buana Ma’ruf Minto Basuki Didik Hardianto Tri Agung Kristiyono Engine Room Module Installation System Risk Analysis Based on Bayesian Network International Journal of Technology bayesian network installation engine room module risk analysis |
| title | Engine Room Module Installation System Risk Analysis Based on Bayesian Network |
| title_full | Engine Room Module Installation System Risk Analysis Based on Bayesian Network |
| title_fullStr | Engine Room Module Installation System Risk Analysis Based on Bayesian Network |
| title_full_unstemmed | Engine Room Module Installation System Risk Analysis Based on Bayesian Network |
| title_short | Engine Room Module Installation System Risk Analysis Based on Bayesian Network |
| title_sort | engine room module installation system risk analysis based on bayesian network |
| topic | bayesian network installation engine room module risk analysis |
| url | https://ijtech.eng.ui.ac.id/article/view/5136 |
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