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Hazard identification with failure mode & effect analysis and fault tree analysis in the chemical industry

  • Ratna Ayu Ratriwardhani ,
  • Merry Sunaryo ,

Abstract

Introduction: The possibility of system failure is something that can happen and can cause harmful effects on workers and the community around the factory. This is shown from the component failure data for the last five years. Components of the sodium silicate production system often fail especially the production pump component. Thus, this study is aimed to analyze the forms of failure, conduct a risk assessment, and determine the basic cause (cut set) of component failure for risk mitigation.

Methods: This was a cross-sectional study. This study was conducted in a company that has sodium silicate production (the company name is withheld). The data or sample that was collected was primary and secondary. FMEA was the next step after mapping the functional block diagram (FBD). Then from the results of the risk assessment on the FMEA, hazard identification was carried out using the FTA method to determine the basic cause (cut set) of component failure for mitigation. After that, the data was analyzed.

Results: This study found that the highest risk values ​​were solvent tank leaks (with a risk value of 15) and production pumps that were not functioning (with a risk value of 20). The results of identification by using FTA to the peak incident of solvent tank leaks obtained 12 cut sets and a minimum of 2 cut sets, caused by the factor of poor maintenance and service life, in the pump production section received 7 cut sets and a minimum of 5 cut sets, caused by there was no supply factor of sodium silicate, bearing life, corrosion, irregular lubrication and short circuit.

Conclusions: Regarding this study, the hazard identification was sodium silica from X company, mainly caused by the dissolver tank leakage and production pump.

References

  1. Lees F. Hazard Identification, Assessment and Control. In: Lee’s Loss Prevention in the Process Industries. 3rd ed. UK: Elsevier Inc; 2005.
  2. Baybutt P. On the need for system-theoretic hazard analysis in the process industries. J Loss Prev Process Ind. 2021;69:104356. Available from: http://dx.doi.org/10.1016/j.jlp.2020.104356
  3. Bélanger L. Essentials of Personnal Management, par Michel S. Novit, New-Jersey, Prentice-Hall Inc., Englewood Cliffs, 1979, 243 pp. Personnel: The Management of Human Ressources,par Stephen P. Robbins, New Jersey, Prentice Hall Inc., Englewood Cliffs, 1978, 393 pp. Relations Ind. 1979;34(4):836. Available from: http://dx.doi.org/10.7202/029029ar
  4. Passarella C. Failure modes and effects analysis. Control. 2018;31(10):72–3.
  5. Fault Tree Analysis [Internet]. Hazard Analysis Techniques for System Safety. John Wiley & Sons, Inc.; 2005. p. 183–221. Available from: http://dx.doi.org/10.1002/0471739421.ch11
  6. Design guidance methods [Internet]. Human Factors Methods for Design. CRC Press; 2004. p. 161–217. Available from: http://dx.doi.org/10.1201/9780203643662.ch7
  7. Papadopoulos Y, Parker D, Granite C. A Method and Tool Support for Model-based Semi-automated Failure Modes and Effects Analysis of Engineering Designs. Ninth Aust Work Safety-Related Program Syst (SCS 2004). 2004;47:89–95. Available from: http://crpit.com/confpapers/CRPITV47Papadopoulos.pdf
  8. Ratriwardhani RA, Sunaryo M, Hutapea O, Rhomadhoni MN. Application of failure mode effect analysis on hazard identification and risk control. Bali Med J. 2022;11(2):892–6. Available from: http://dx.doi.org/10.15562/bmj.v11i2.3146
  9. National Center for Biotechnology Information. PubChem Compound Summary for CID 23266, Sodium silicate [Internet]. 2023. Available from: https://pubchem.ncbi.nlm.nih.gov/compound/Sodium-silicate.

How to Cite

Ratriwardhani, R. A., & Sunaryo, M. . (2023). Hazard identification with failure mode & effect analysis and fault tree analysis in the chemical industry. Bali Medical Journal, 12(3), 2836–2839. https://doi.org/10.15562/bmj.v12i3.4435

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Ratna Ayu Ratriwardhani
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Pubmed
BMJ Journal


Merry Sunaryo
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Pubmed
BMJ Journal