1106 Implementation of Knowledge Management System for Fault Tree Analysis Based on Quantity Dimension Indexing

2009 ◽  
Vol 2009.19 (0) ◽  
pp. 47-48
Author(s):  
Tamotsu Murakami ◽  
Hiroyuki Ashina
2020 ◽  
Vol 3 (2) ◽  
pp. 42
Author(s):  
Alvian Purbiantoro ◽  
Adwitya Bhaskara

<p><em>Building a construction project is an activity which contains many dangerous elements.  It causes the construction industries have bad record in the terms of occupational safety.  Therefore, occupational safety is an aspect that must be improved any time because it is a very complex problem which covers issues in the terms of humanity, legal aspect, accountability and the image of the organization itself.  This study aims to (1) Determine the accuracy level of the Occupational Safety Management System Application in the Service Building (physical) Construction Project in Tidar Regional Hospital (RSUD) Magelang, (2) Identify and analyze the potential risks of work accident by using Fault Tree Analysis (FTA) method and planning mitigation to reduce the scope of construction in progress. This study is a quantitative analysis where the research is conducted by collecting the primary data through interview and observation, meanwhile the secondary data is in the form of data from the project itself. FTA is used to investigate the potential of workplace accidents by analyzing the direct causes to the basic causes of the accident itself.  The results of the study show that (1) The accuracy level of the application of Occupational Safety Management System which has been applied has an assessment rate of 97.29% and it is included in the level of satisfactory assessment.  (2)  The results of the analysis using FTA obtained several incidents that potentially can cause workplace accidents, incidents such as the workers who do not wear personal protective equipment, workers who act carelessly, and the lack of work experience are the frequent cases in the basic FTA incidents. </em></p>


2016 ◽  
Vol 5 (1) ◽  
pp. 36
Author(s):  
Annisa Sholikhatul Addawiyah ◽  
Rudatin Windraswara

Fault tree analysis adalah suatu penilaian risiko yang mampu mengidentifikasi potensi bahaya secara spesifik, fokus, rinci pada satu kejadian yang tidak diinginkan, dan mengetahui penyebab kejadian tersebut beserta angka probabilitasnya. Tercatat mulai tanggal 1 Januari – 30 April 2014 terjadi kebakaran sebanyak 10 kali di divisi spinning PT. Apac Inti Corpora dengan kasus tertinggi di unit spinning V (50% kejadian).Tujuan penelitian ini adalah mengetahui faktor penyebab kebakaran, mengembangkan penilaian risiko, dan mengetahui gambaran umum sistem manajemen penanggulangan kebakaran di unit spinning V PT. AIC. Desain penelitian ini adalah kualitatif eksplanatoris. Hasil pengembangan bagan fault tree analysis didapatkan 41 basic event, 24 intermediate event, 1 conditioning event, dan 1 undeveloped event yang secara matematis melalui persamaan aljabar boolean akan menghasilkan 35 single minimum cut sets dan 5 double component cut sets, dengan perhitungan angka probabilitas sebesar 0,3552. Hasil kesesuaian sistem manajemen penanggulangan kebakaran didapatkan 76 poin dari 81 poin standar regulasi yang berlaku di Indonesia. Simpulan penelitian ini adalah kemungkinan terjadinya kebakaran di spinning V sebesar 35,52%. Saran dari penelitian ini adalah dilakukannya evaluasi terhadap kegagalan deteksi dini dan kegagalan teknis. Fault tree analysis has advantages in identifying potential hazards in specifics, focus, detail on a potential undesirable event that called top event, and was able to find out the causes with the value of probability. Recorded at January 1th – April 30th, 2014, there had been 10 cases of fires in the spinning PT. Apac Inti Corpora with the highest cases at spinning V (50% event). The purpose of this research was find out the cause of fires, develop a risk assessment, and learn an overview of fires countermeasures management system in spinning V. This research was a qualitative – explanatory design. Result of development fault tree analysis brings about 41 basic event, 24 intermediate event, 1 conditioning event, dan 1 undeveloped event  by boolean algebra, mathematically generates 35 single minimum cut sets and 5 double component cut sets, with the value of probability is 0,3552. Whereas the countermeasure of fire management system conformity obtained 76 points is according from 81 points of regulatory standards in Indonesia. Summary, spinning unit V had the possibility of going fires is 35,52%. Advice, conducted evaluation of failure from early detection and technical failures in the production process.


Author(s):  
Tamotsu Murakami ◽  
Toshiyuki Ishii

Fault tree analysis (FTA) is an effective method of ensuring the security and safety of the product by identifying all the possible causes of the problem and fixing them. However, it is not easy for a designer to construct a complete fault tree about various physical phenomena without any misunderstanding or oversight, and some computerized method of managing (i.e., storing, searching and utilizing) knowledge about FTA is needed. To solve the problem, the authors have proposed and studied a method and software tool for knowledge management of FTA based on quantity dimension indexing as a design knowledge management method to avoid ambiguity of literal expression about physical phenomena. In the previous method and software, however, fault values of quantities were limited as just above- and below-normal, and dynamic phenomena such as oscillation could not be described. In this paper, the authors introduce a systematically classified definition of fault values as above/below normal, one-side/both-sides, constant/varying, monotonic/non-monotonic and sudden/gradual, and expand the computerized systematic approach to FTA. Feasibility of the method was examined by applying it to fault tree examples made in a company.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1721 ◽  
Author(s):  
Lilian. O. Iheukwumere-Esotu ◽  
Akilu Yunusa Kaltungo

Systematic failure analysis generally enhances the ability of engineering decision-makers to obtain a holistic view of the causal relationships that often exist within the systems they manage. Such analyses are made more difficult by uncertainties and organisational complexities associated with critical and inevitable industrial maintenance activities such as major overhauls, outages, shutdowns, and turnarounds (MoOSTs). This is perhaps due to the ratio of tasks-to-duration typically permitted. While core themes of MoOSTs including planning, contracts, costing, execution, etc., have been the focus of most research activities, it is worth noting that the ability to successfully transfer and retain MoOSTs knowledge is still under-investigated. Effectively implementing a case study-based approach for data collection, the current study explores the harmonisation of various risk assessments (i.e., fault tree analysis and reliability block diagrams) and multicriteria decision analysis (MCDA) tools to investigate perceived barriers to MoOSTs knowledge management and experience transfer. The case study selected for this study is a dual process line all-integrated cement manufacturing plant (the largest of such process configuration in its region). The justification for this choice of industry was driven by the volume and frequency of MoOSTs executed each year (typically 4–1 per process line), thereby providing a good opportunity to interact with industrial experts with immense experience in the management/execution of MoOSTs within their industry. A multilayered methodology was adopted for information gathering, whereby baseline knowledge from an earlier conducted systematic review of MoOSTs practices/approaches provided fundamental theoretical trends, which was then complemented by field-based data (from face-to-face interviews, focus group sessions, questionnaires, and secondary information from company MoOSTs documentation). During the analysis, fault tree analysis (FTA) and reliability block diagrams (RBDs) were simultaneously used to generate the causal relationships and criticality that exist between identified barriers, while the MCDA (in this case analytical hierarchy process) was used to identify and prioritise barriers to MoOSTs knowledge management and experience transfer, based on sensitivity analysis and consistency of approach. The primary aim of this study is to logically conceptualise core barriers/limiters to knowledge in temporary industrial project environments such as MoOSTs, as well as enhance the ability of decision-makers to prioritise learning efforts. The results obtained from analysis of data identify three major main criteria (barriers) and 23 subcriteria ranked according to level of importance as indicated from expert opinions.


Author(s):  
Adwitya Bhaskara ◽  
Cahyo Dita Saputro ◽  
Firdamarsha Benadikta ◽  
Syawaluddin Alim ◽  
Danny Setiawan

In mid-2019, there was a construction accident during the underpass construction project in Yogyakarta. The underpass excavation wall in this project was collapsed and 2 vehicles were reported fallen. Although such accident sometimes occurs in some projects, it does not mean that these accidents are caused by the same source. Many efforts to prevent accidents have been done by various methods and one of them is an assessment by observation at construction sites referring to Government Regulation 05 2014 concerning SMK3 (Occupational Safety and Health Management System) in the Public Works Sector Construction. The details about the implementation of construction work are described in PUPR Decree No. 21 in 2019 in term of the Construction Safety Management System (SMKK) Guidelines. This research was conducted to identify factors and indicators of management consultants, supervisors and contractors who have a major impact and contribution to the underpass construction project in Kentungan, Yogyakarta. The percentage level of accuracy in the application of the construction safety management system based on the assessment of the contractor was 85.938% and for the supervisory consultant the percentage level of accuracy was 97.29%. Both percentages are included in the satisfactory category since the assessment ranges are between 85% and 100%. Based on these two assessments, an evaluation was carried out using a Fault Tree Analysis to determine the causality flow of construction accidents.


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