Yıl: 2022 Cilt: 15 Sayı: 4 Sayfa Aralığı: 1651 - 1669 Metin Dili: İngilizce DOI: 10.35674/kent.1017076 İndeks Tarihi: 22-12-2022

A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey

Öz:
There should usually be a physical distance between the production, use and consumption points of the products, and one of the most important logistics activities in the supply chain is transportation. The method that enables transportation to reach the widest areas in the world is sea transportation. With maritime transport, continents and countries connect with each other and realize the supply chain. The two main criteria of maritime transport are ships and ports. It is very important to determine the ideal ship size that the ships used in maritime transportation are of different types according to the load, distance and location. There are more than one decision making model and decision criteria in determining the ideal dimensions of the ships. For this reason, shipping companies have difficulties in choosing the right ship size in their investment and operation decisions. There are two main criteria in ship types. They are ships engaged in long-distance sea transport and short-distance sea transport. Maritime companies have the chance to find all kinds of cargo with their ships regarding long-distance maritime transport. In short-distance maritime transport, the choice of ship is more limited. Coasters, which are the most used ship type in short-distance sea transportation, play an important role in the Turkish Maritime Industry. Therefore, Electre method, which is one of the multi-criteria decision-making methods, was used in this study to reveal the ideal dead weight tonnage (DWT) of a dry cargo coaster for shipping companies in Turkey. The coasters were divided into five categories according to their tonnage capacities, and then dry cargo coaster experts were asked for their opinions on five tonnage categories. The obtained data were evaluated with the Electre method and the optimal coaster tonnage was revealed
Anahtar Kelime: Dry cargo ships Coaster ships Electre method Ship tonnage selection Shipping companies.

Türkiye'deki Denizcilik Firmaları İçin Bir Kuru Yük Kosteri Tonajı Belirleme Modeli

Öz:
Ürünlerin üretim, kullanım ve tüketim noktaları arasında genellikle fiziksel bir mesafe bulunması gerektiğinden, tedarik zincirinde ürünlerin müşteri ile buluşturulmasında en önemli lojistik faaliyetlerden biri de taşımadır. Taşımacılığın dünya üzerinde en geniş alanlara ulaşmasını sağlayan yöntem ise deniz taşımacılığıdır. Deniz taşımacılığı sayesinde kıtalar ve ülkeler birbirleriyle bağlanarak tedarik zincirini gerçekleştirmektedirler. Deniz taşımacılığın iki ana unsuru gemiler ve limanlardır. Deniz taşımacılığında kullanılan gemilerin yük, mesafe ve konuma göre farklı tiplerde olmalarıda ideal gemi boyutunun belirlenmesi için çok önemlidir. Gemilerin ideal boyutlarının belirlenmesinde birden çok fazla karar verme modeli ve karar kriteri bulunmaktadır. Bu nedenle denizcilik şirketleri, gemi konusunda yatırım ve işletme kararlarında doğru gemi boyutunu seçmenin zorluklarıyla karşı karşıya kalmaktadırlar. Gemi tiplerinde iki ana kriter bulunmaktadır. Uzak mesafe denizyolu taşımacılığı ve kısa mesafe denizyolu taşımacılığı yapan gemilerdir. Denizcilik şirketleri uzak mesafe denizyolu taşımacılığı konusunda gemileriyle her türlü yük bulma şansına sahiptirler. Kısa mesafe denizyolu taşımacılığında ise gemi seçimi daha sınırlı kalmaktadır. Kısa mesafe denizyolu taşımacılığında en çok kullanılan gemi tipi olan kosterler, Türk Denizcilik Sektöründe önemli bir rol oynamaktadırlar. Bu nedenle, Türkiye'deki denizcilik şirketleri için bir kuru yük kosterinin ideal deadweight (DWT) ortaya çıkarmak için bu çalışmada çok kriterli karar verme yöntemlerinden biri olan Electre yöntemi kullanılmıştır. Kosterler, tonaj kapasitelerine göre beş kategoriye ayrılmış ve ardından kuru yük koster gemileri konusunda uzmanlardan beş tonaj kategorisi için görüş istenmiştir. Elde edilen veriler Electre yöntemi ile değerlendirilmiş ve optimal koster tonajı ortaya çıkarılmıştır.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
0
0
0
  • Afshari, A. R., Mojahed, M., Yusuff, R. M., Hong, T. S., & Ismail, M. Y. (2010). Personnel selection using ELECTRE. Journal of Applied Sciences, 10(23), 3068-3075.
  • Andersson, J., Gustafsson, R., Eslamdoost, A., & Bensow, R. E. (2021). On the Selection of Optimal Propeller Diameter for a 120-m Cargo Vessel. Journal of Ship Research, 65(02), 153-166.
  • Arican, O. H., Dugenci, I., Kara, G., & Unal, A. U. (2020). Transportation of Chemical Cargoes by Tanker Ships. In Handbook of Research on the Applications of International Transportation and Logistics for World Trade (pp. 288-309). IGI Global.
  • Arslan, O. (2021). The Social Sustainability Model for The Maritime Labor Force. Ph.D. Thesis, Graduate Program in Maritime Transportation Management Engineering, Piri Reis University, İstanbul.
  • Balakrishnan, A., & Karsten, C. V. (2017). Container shipping service selection and cargo routing with transshipment limits. European Journal of Operational Research, 263(2), 652-663.
  • Benayoun, R., Roy, B., & Sussman, B. (1966). ELECTRE: Une méthode pour guider le choix en présence de points de vue multiples. Note de travail, 49.
  • Bogdanovic, D., & Miletic, S. (2014). Personnel evaluation and selection by multicriteria decision making method. Economic computation and economic cybernetics studies and research, 48(3), 179-196.
  • Deniz Ticaret Odası (DTO), (2021), Maritime Sector Report, Chamber of Shipping, İstanbul.
  • Erikstad, S. O., Fagerholt, K., & Solem, S. (2011). A ship design and deployment model for non-cargo vessels using contract scenarios. Ship Technology Research, 58(3), 132-141.
  • Jing, L., Marlow, P. B., & Hui, W. (2008). An analysis of freight rate volatility in dry bulk shipping markets. Maritime Policy & Management, 35(3), 237-251
  • Malaksiano, M. О., & Melnyk, O. М. (2020). Vessel selection prospects and suitability assessment for oversized cargo transportation. Scientific Notes of Taurida National VI Vernadsky University. Series: Technical Sciences, 31 (70), 1, 135-140.
  • Malchow, M. B., & Kanafani, A. (2004). A disaggregate analysis of port selection. Transportation Research Part E: Logistics and Transportation Review, 40(4), 317-337.
  • Sellars, F. H., & Martin, J. P. (1992). Selection and evaluation of ship roll stabilization systems. Marine Technology and SNAME News, 29(02), 84-101.
  • Urošević, S., ĐORĐEVIĆ, D., RADOSAVLJEVIĆ, D., KOKEZA, G., & STEFANOVIĆ, V. (2017). Multicriteria ranking of a job position by ELECTRA methods in order to improve the analysis and conditions at work in companies in the textile industry. DE REDACTIE, 388.
  • Yang, Z. L., Mastralis, L., Bonsall, S., & Wang, J. (2009). Incorporating uncertainty and multiple criteria in vessel selection. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 223(2), 177-188.
  • Yang, Z. L., Bonsall, S., & Wang, J. (2011). Approximate TOPSIS for vessel selection under uncertain environment. Expert Systems with Applications, 38(12), 14523-14534.
  • Yanie, A., Hasibuan A., Ishak I., Marsono M., Lubis S., Nurmalini N., Mesran M., Nasution S., Rahim R., Nurdiyanto H. and Ahmar A. S., (2018, June). Web based application for decision support system with ELECTRE method. In Journal of Physics: Conference Series (Vol. 1028, No. 1, p. 012054). IOP Publishing.
APA ARICAN O, UNAL A, ARSLAN O, BAMYACI M (2022). A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. , 1651 - 1669. 10.35674/kent.1017076
Chicago ARICAN OZAN HIKMET,UNAL ALİ UMUT,ARSLAN OSMAN,BAMYACI MUHAMMED A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. (2022): 1651 - 1669. 10.35674/kent.1017076
MLA ARICAN OZAN HIKMET,UNAL ALİ UMUT,ARSLAN OSMAN,BAMYACI MUHAMMED A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. , 2022, ss.1651 - 1669. 10.35674/kent.1017076
AMA ARICAN O,UNAL A,ARSLAN O,BAMYACI M A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. . 2022; 1651 - 1669. 10.35674/kent.1017076
Vancouver ARICAN O,UNAL A,ARSLAN O,BAMYACI M A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. . 2022; 1651 - 1669. 10.35674/kent.1017076
IEEE ARICAN O,UNAL A,ARSLAN O,BAMYACI M "A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey." , ss.1651 - 1669, 2022. 10.35674/kent.1017076
ISNAD ARICAN, OZAN HIKMET vd. "A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey". (2022), 1651-1669. https://doi.org/10.35674/kent.1017076
APA ARICAN O, UNAL A, ARSLAN O, BAMYACI M (2022). A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. Kent Akademisi (Online), 15(4), 1651 - 1669. 10.35674/kent.1017076
Chicago ARICAN OZAN HIKMET,UNAL ALİ UMUT,ARSLAN OSMAN,BAMYACI MUHAMMED A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. Kent Akademisi (Online) 15, no.4 (2022): 1651 - 1669. 10.35674/kent.1017076
MLA ARICAN OZAN HIKMET,UNAL ALİ UMUT,ARSLAN OSMAN,BAMYACI MUHAMMED A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. Kent Akademisi (Online), vol.15, no.4, 2022, ss.1651 - 1669. 10.35674/kent.1017076
AMA ARICAN O,UNAL A,ARSLAN O,BAMYACI M A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. Kent Akademisi (Online). 2022; 15(4): 1651 - 1669. 10.35674/kent.1017076
Vancouver ARICAN O,UNAL A,ARSLAN O,BAMYACI M A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey. Kent Akademisi (Online). 2022; 15(4): 1651 - 1669. 10.35674/kent.1017076
IEEE ARICAN O,UNAL A,ARSLAN O,BAMYACI M "A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey." Kent Akademisi (Online), 15, ss.1651 - 1669, 2022. 10.35674/kent.1017076
ISNAD ARICAN, OZAN HIKMET vd. "A Dry Cargo Coaster Tonnage Selection Model For Shipping Companies In Turkey". Kent Akademisi (Online) 15/4 (2022), 1651-1669. https://doi.org/10.35674/kent.1017076