Research Article
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Investigation of the Best Solution Proposals for Reducing SIRE VIQ Inspection Observations Utilizing Fuzzy TOPSIS Integrated Fuzzy DEMATEL Approach at OilChemical Tankers

Year 2023, Volume: 10 Issue: 3, 24 - 39, 30.09.2023

Talha Yalnız Oktay Çetin

https://doi.org/10.30897/ijegeo.1291867

Abstract

A significant portion of seaborne transportation is carried out by tankers. While offering huge volumes of carrying capacity, due to the characteristics of the cargoes they carry, the reliability and environment friendliness of the tanker fleets need to be maintained to ensure safe and reliable transportation without harming human life and the environment. This forms the basis of additional inspection mechanisms to keep tanker ships operationally safe. Ship Inspection Report (SIRE) programme Vessel Inspection Questionnaires (VIQ) inspections form one of the additional inspections complementing the regular Flag State and Port State Inspections. By consulting tanker crew and inspectors as field experts, this study utilizes a quantitative method to propose an approach for minimizing the most observed remarks of SIRE VIQ inspections. The study first classifies the remarks using the Fuzzy DEMATEL approach and further obtains the best possible solution suggestions via the Fuzzy TOPSIS method. The study also offers a complementary choice to add to the existing inspection routine.

Keywords

Ship Inspection Report Vessel Inspection Questionnaires Safety Management Maritime Safety Policy

References

  • Akyüz, E., Celik, E. (2015). A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. Journal of Loss Prevention in the Process Industries, 38, 243-253.
  • Altaş, İ. H. (1999). Bulanık Mantık: Bulanıklılık Kavramı. Enerji, Elektrik, Elektromekanik-3e, 62, 80-85.
  • Balin, A., Demirel, H., Celik, E., Alarcin, F. (2018). A Fuzzy Dematel Model proposal for the cause and effect of the fault occurring in the auxiliary systems of the ships’ main engine. International Journal of Maritime Engineering, 160 (A2).
  • Başhan, V., Demirel, H. (2018). Evaluation of critical operational faults of marine diesel generator engines by using DEMATEL method. Journal of ETA Maritime Science, 6(2).
  • Bulut, E. (2013). Economic Analysis on Ship Investment and Management Strategy of Dry Bulk Shipping (Doctoral dissertation).
  • Cha, Y., Jung, M. (2003). Satisfaction assessment of multi-objective schedules using neural fuzzy methodology. International journal of production research, 41(8), 1831-1849.
  • Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
  • Chen, J., Zhang, S., Xu, L., Wan, Z., Fei, Y., Zheng, T. (2019). Identification of key factors of ship detention under Port State Control. Marine Policy, 102, 21-27.
  • Cheng, A. C., Chen, C. J., Chen, C. Y. (2008). A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development. Technological Forecasting and Social Change, 75(1), 131-141.
  • Chou, C. C. (2007). A fuzzy MCDM method for solving marine transshipment container port selection problems. Applied Mathematics and Computation, 186(1), 435-444.
  • Chu, T. C., Lin, Y. C. (2003). A fuzzy TOPSIS method for robot selection. The International Journal of Advanced Manufacturing Technology, 21(4), 284-290.
  • Grbić, L., Čulin, J., Bielić, T. (2018). Inspections on board oil tankers: present situation and suggestion for improvement. Pomorstvo, 32(1), 132-140.
  • Grbić, L., Čulin, J., Perković, T. (2018). SIRE inspections on Oil tankers. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 12(2).
  • Gurbuz, S. C., Celik, M. (2022). A preliminary design of a 3D maritime gamified mentoring platform to support tanker pre-vetting inspection training:‘Maritime Gamentor’. Ships and Offshore Structures, 1-11.
  • Heij, C., Bijwaard, G. E., Knapp, S. (2011). Ship inspection strategies: Effects on maritime safety and environmental protection. Transportation research part D: transport and environment, 16(1), 42-48.
  • Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied mathematics and computation, 181(2), 1544-1551.
  • Kosko, B., Toms, M. (1994). Fuzzy thinking: The new science of fuzzy logic (p. 141). London: Flamingo.
  • Lin, C. J., Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205-213.
  • Menteş, A. Akyıldır, H. Helvacıoğlu, I. (2014). A Grey Based Dematel Technıque for Risk Assessment of Cargo Ships, In Proceedings.
  • Nguyen, H. T., Prasad, N. R., Walker, C. L., Walker, E. A. (2002). A first course in fuzzy and neural control. Chapman and Hall/CRC.
  • OCIMF. (2023). Retrieved from OCIMF: https://www.ocimf.org/
  • Olson, D. L. (2004). Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, 40(7-8), 721-727.
  • Opricovic, S., Tzeng, G. H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(05), 635-652.
  • Özdemir, Ü., Güneroğlu, A. (2015). Strategic approach model for investigating the cause of maritime accidents. PROMET-Traffic&Transportation, 27(2), 113-123.
  • Özdemir, Ü., Yılmaz, H., Başar, E. R. S. A. N. (2016). Investigation of marine pollution caused by ship operations with DEMATEL method. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 10(2).
  • Öztürk, A., Ertuğrul, İ., Karakaşoğlu, N. (2008). Nakliye Firması Seçiminde Bulanık AHP ve Bulanık Topsıs Yöntemlerinin Karşılaştırılması. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 25(2), 785-824.
  • Palit, A. K., Babuska, R. (2001, December). Efficient training algorithm for Takagi-Sugeno type Neuro-Fuzzy network. In 10th IEEE International Conference on Fuzzy Systems. (Cat. No. 01CH37297) (Vol. 3, 1367-1371), IEEE.
  • Powers, M. (2008). Vetting-Selected Legal Aspects of the Vessel Selection Process. With special focus on seaworthiness, duty of care and charter party vetting clauses.
  • Razmi, J., Rafiei, H., Hashemi, M. (2009). Designing a decision support system to evaluate and select suppliers using fuzzy analytic network process. Computers & Industrial Engineering, 57(4), 1282-1290.
  • Tseng, M. L. (2009). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert systems with applications, 36(4), 7738-7748.
  • Ünal, Y. (2011). Bulanık çok kriterli karar verme yöntemleri ve bir takım oyunu için oyuncu seçimi uygulaması. Yayımlanmamış Yüksek Lisans Tezi). Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya
  • Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353

Year 2023, Volume: 10 Issue: 3, 24 - 39, 30.09.2023

Talha Yalnız Oktay Çetin

https://doi.org/10.30897/ijegeo.1291867

Abstract

References

  • Akyüz, E., Celik, E. (2015). A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. Journal of Loss Prevention in the Process Industries, 38, 243-253.
  • Altaş, İ. H. (1999). Bulanık Mantık: Bulanıklılık Kavramı. Enerji, Elektrik, Elektromekanik-3e, 62, 80-85.
  • Balin, A., Demirel, H., Celik, E., Alarcin, F. (2018). A Fuzzy Dematel Model proposal for the cause and effect of the fault occurring in the auxiliary systems of the ships’ main engine. International Journal of Maritime Engineering, 160 (A2).
  • Başhan, V., Demirel, H. (2018). Evaluation of critical operational faults of marine diesel generator engines by using DEMATEL method. Journal of ETA Maritime Science, 6(2).
  • Bulut, E. (2013). Economic Analysis on Ship Investment and Management Strategy of Dry Bulk Shipping (Doctoral dissertation).
  • Cha, Y., Jung, M. (2003). Satisfaction assessment of multi-objective schedules using neural fuzzy methodology. International journal of production research, 41(8), 1831-1849.
  • Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
  • Chen, J., Zhang, S., Xu, L., Wan, Z., Fei, Y., Zheng, T. (2019). Identification of key factors of ship detention under Port State Control. Marine Policy, 102, 21-27.
  • Cheng, A. C., Chen, C. J., Chen, C. Y. (2008). A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development. Technological Forecasting and Social Change, 75(1), 131-141.
  • Chou, C. C. (2007). A fuzzy MCDM method for solving marine transshipment container port selection problems. Applied Mathematics and Computation, 186(1), 435-444.
  • Chu, T. C., Lin, Y. C. (2003). A fuzzy TOPSIS method for robot selection. The International Journal of Advanced Manufacturing Technology, 21(4), 284-290.
  • Grbić, L., Čulin, J., Bielić, T. (2018). Inspections on board oil tankers: present situation and suggestion for improvement. Pomorstvo, 32(1), 132-140.
  • Grbić, L., Čulin, J., Perković, T. (2018). SIRE inspections on Oil tankers. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 12(2).
  • Gurbuz, S. C., Celik, M. (2022). A preliminary design of a 3D maritime gamified mentoring platform to support tanker pre-vetting inspection training:‘Maritime Gamentor’. Ships and Offshore Structures, 1-11.
  • Heij, C., Bijwaard, G. E., Knapp, S. (2011). Ship inspection strategies: Effects on maritime safety and environmental protection. Transportation research part D: transport and environment, 16(1), 42-48.
  • Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied mathematics and computation, 181(2), 1544-1551.
  • Kosko, B., Toms, M. (1994). Fuzzy thinking: The new science of fuzzy logic (p. 141). London: Flamingo.
  • Lin, C. J., Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205-213.
  • Menteş, A. Akyıldır, H. Helvacıoğlu, I. (2014). A Grey Based Dematel Technıque for Risk Assessment of Cargo Ships, In Proceedings.
  • Nguyen, H. T., Prasad, N. R., Walker, C. L., Walker, E. A. (2002). A first course in fuzzy and neural control. Chapman and Hall/CRC.
  • OCIMF. (2023). Retrieved from OCIMF: https://www.ocimf.org/
  • Olson, D. L. (2004). Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, 40(7-8), 721-727.
  • Opricovic, S., Tzeng, G. H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(05), 635-652.
  • Özdemir, Ü., Güneroğlu, A. (2015). Strategic approach model for investigating the cause of maritime accidents. PROMET-Traffic&Transportation, 27(2), 113-123.
  • Özdemir, Ü., Yılmaz, H., Başar, E. R. S. A. N. (2016). Investigation of marine pollution caused by ship operations with DEMATEL method. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 10(2).
  • Öztürk, A., Ertuğrul, İ., Karakaşoğlu, N. (2008). Nakliye Firması Seçiminde Bulanık AHP ve Bulanık Topsıs Yöntemlerinin Karşılaştırılması. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 25(2), 785-824.
  • Palit, A. K., Babuska, R. (2001, December). Efficient training algorithm for Takagi-Sugeno type Neuro-Fuzzy network. In 10th IEEE International Conference on Fuzzy Systems. (Cat. No. 01CH37297) (Vol. 3, 1367-1371), IEEE.
  • Powers, M. (2008). Vetting-Selected Legal Aspects of the Vessel Selection Process. With special focus on seaworthiness, duty of care and charter party vetting clauses.
  • Razmi, J., Rafiei, H., Hashemi, M. (2009). Designing a decision support system to evaluate and select suppliers using fuzzy analytic network process. Computers & Industrial Engineering, 57(4), 1282-1290.
  • Tseng, M. L. (2009). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert systems with applications, 36(4), 7738-7748.
  • Ünal, Y. (2011). Bulanık çok kriterli karar verme yöntemleri ve bir takım oyunu için oyuncu seçimi uygulaması. Yayımlanmamış Yüksek Lisans Tezi). Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya
  • Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353
There are 32 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Talha Yalnız 0000-0002-4907-1075

Oktay Çetin 0000-0002-5899-8921

Early Pub Date September 6, 2023
Publication Date September 30, 2023
Published in Issue Year 2023 Volume: 10 Issue: 3

Cite

APA Yalnız, T., & Çetin, O. (2023). Investigation of the Best Solution Proposals for Reducing SIRE VIQ Inspection Observations Utilizing Fuzzy TOPSIS Integrated Fuzzy DEMATEL Approach at OilChemical Tankers. International Journal of Environment and Geoinformatics, 10(3), 24-39. https://doi.org/10.30897/ijegeo.1291867

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