Determination of Officer of the Watch Selection Criteria for Ship Types

Maritime education is given in accordance with the Training, Certification, and Watchkeeping Standards of Seafarers (STCW) around the world. These standards provide seafarers with the necessary licenses and certificates to work on board but their operational performance depends on their personal characteristics and qualifications. In order to minimize personnel-induced risks and related costs while at the same time enhancing operational efficiency, it is essential to choose personnel whose qualifications best match the ship/cargo type. There are many officers of the watch (OOW) with different qualifications and educational histories in the maritime sector. Choosing the most suitable among these OOWs specific to the ship/cargo is more difficult than the selection of masters. In the light of this, this study focuses on an appropriate selection process of OOWs and aims to identify the predominant selection criteria according to two main types of vessel: tankers and general cargo ships. The priorities of selection criteria based on the type of vessel are outlined for employing the OOW. Analytical Hierarchy Process (AHP) is used to determine the relative weights of OOW selection criteria. The study concludes that the global relative weight distributions of criteria for tankers and general cargo ships are quite different from each other, except for experience. It is thought that the criteria determined will provide companies with a more accurate evaluation advantage in the selection of OOWs.

___

  • Acer, A., & İnci, H. (2020). Personel Seçimi Sürecinin AHP Tabanlı MOORA Yöntemi ile Değerlendirilmesi: Liman Saha Operasyon Elemanı Seçimi Üzerine Bir Uygulama. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(29 Ekim Özel Sayısı), 1-1. https://doi.org/10.26466/opus.716542 google scholar
  • Celik, M., Er, I. D., & Topcu, Y. I. (2009). Computer-based systematic execution model on human resources management in maritime transportation industry: The case of master selection for embarking on board merchant ships. Expert Systems With Applications, 36, 1048-1060. https://doi.Org/10.1016/j. eswa.2007.11.004 google scholar
  • Cicek, K., Akyuz, E., & Celik, M. (2019). Future Skills Requirements Analysis in Maritime Industry. Procedia Computer Science, 158, 270-274. Elsevier B.V. https://doi.org/10.1016/j.procs.2019.09.051 google scholar
  • Ding, J. F., & Liang, G. S. (2005). The choices of employing seafarers for the national shipowners in Taiwan: An empirical study. Maritime Policy and Management. https://doi.org/10.1080/09523980500062643 google scholar
  • Efe, B., & Kurt, M. (2018). Bir Liman İşletmesinde Personel Seçimi Uygulaması. In Karaelmas Fen ve Mühendislik Dergisi (Vol. 8). Zonguldak Bülent Ecevit Üniversitesi: Bulent Ecevit University. https:// doi.org/10.7212/zkufbd.v8i2.750 google scholar
  • Elidolu, G., Uyanık, T., & Arslanoğlu, Y. (2020). Seafarer personnel selection with Fuzzy AHP. 5th International Mediterranean Science and Engineering Congress (IMSEC 2020), 632-636. Antalya. google scholar
  • Ertürk, A., Demirel, O., & Polat, M. (2017). A holistic approach for HR selection and placement process: A model proposal for maritime industry. Journal of Naval Sciences and Engineering, 13(2), 1-13. google scholar
  • Fışkın, R., & Zorba, Y. (2015). An Analysis of The Effects of Major Oil Companies on Crew Selection Criteria for Tanker Operating Ship Management Companies. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 7(2), 154-170. google scholar
  • Ilgaz, A. (2018). Lojistik Sektöründe Personel Seçim Kriterlerinin Ahp ve TOPSIS Yöntemleri ile Değerlendirilmesi. Journal of Süleyman Demirel University Institute of Social Sciences, 3(32), 586-605. google scholar
  • Kartal, Ş. E., Uğurlu, Ö., Kaptan, M., Arslanoğlu, Y., Wang, J., & Loughney, S. (2019). An analysis and comparison of multinational officers of the watch in the global maritime labor market. Maritime Policy & Management, 46(6), 757-780. https://doi.org/10.1080/03088839.2019.1597290 google scholar
  • Kececi, T., Bayraktar, D., & Arslan, O. (2015). A Ship Officer Performance Evaluation Model Using Fuzzy-AHP. Journal of Shipping and Ocean Engineering, 5(1). https://doi.org/10.17265/2159-5879/2015.01.004 google scholar
  • Koutra, G., Barbounaki, S., Kardaras, D., & Stalidis, G. (2017). A Multicriteria Model for Personnel Selection in Maritime Industry in Greece. 2017 IEEE 19th Conference on Business Informatics (CBI), 1, 287-294. IEEE. https://doi.org/10.1109/CBI.2017.52 google scholar
  • Pense, C. (2018). Deniz kazalarında insan faktörü ve bir çözüm olarak e-seyir. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 1(2), 72-86. google scholar
  • Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research. https://doi.org/10.1016/0377-2217(90)90057-I google scholar
  • Saaty, T., & Vargas, L. (2012). Models, methods, concepts & applications of the analytic hierarchy process. In ... -Driven Demand and Operations Management Models. Springer. https://doi.org/10.1007/978-1-4614-3597-6 google scholar
  • Taha, H. A. (2017). Operations research an introduction. © Pearson Education Limited 2017. google scholar
  • Uğurlu, Ö. (2015). Application of Fuzzy Extended AHP methodology for selection of ideal ship for oceangoing watchkeeping officers. International Journal of Industrial Ergonomics, 47, 132-140. https://doi. org/10.1016/j.ergon.2015.01.013 google scholar
  • Wang, Y., & Tae Yeo, G. (2016). The Selection of a Foreign Seafarer Supply Country for Korean Flag Vessels. Asian Journal of Shipping and Logistics, 32(4), 221-227. https://doi.org/10.1016/j.ajsl.2016.12.005 google scholar