Choosing an optimal bunkering port that minimises the increase in the operating costs in a hub and spoke system is a multi-criteria decision-making (MCDM) problem. Furthermore, the criteria are related to the port particularities, the environment, fuel price, and some criteria are quantitative while others are qualitative. It is therefore necessary to create a model that takes such features into consideration. Firstly, in this paper a set of the most used criteria will be defined. Then, a method to choose suitable criteria for a hub and spoke system will be proposed. Secondly, using a Fuzzy AHP, weights will be defined and used in a multi-criteria goal function. The outcome is a bunkering policy MCDM model based on the aggregation of fuel consumption and price to criteria related to port characteristics, local aspects and service particularities. All these factors must be considered by a chief engineer (superintendent) in the process of defining a sustainable bunker policy. A case study based on the North Adriatic port system demonstrates the applicability of the proposed model. In addition, the case study highlights that in hub and spoke systems with short loops, feeder ships can regulate cargo capacity and stay at a port with bunkering policy planning.
Wang Y, Meng Q, Kuang H. Jointly optimizing ship sailing speed and bunker purchase in liner shipping with distribution-free stochastic bunker prices. Transp Res Part C Emerg Technol. 2018;89: 35-52.
Zhen L, Wang S, Zhuge D. Dynamic programming for optimal ship refueling decision. Transportation Research Part E. 2017;100: 63-74.
Aydin N, Lee H, Mansouri SA. Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports. European Journal of Operational Research. 2017;259(1): 143-54.
Wang S, Meng Q. Discrete Optimization: Robust bunker management for liner shipping networks. European Journal of Operational Research. 2015;243: 789-97.
Sheng X, Chew EP, Lee LH. (s,S) policy model for liner shipping refueling and sailing speed optimization problem. Transportation Research Part E. 2015;76: 76-92.
Pedrielli G, Lee LH, Ng SH. Optimal bunkering contract in a buyer–seller supply chain under price and consumption uncertainty. Transportation Research Part E. 2015;77: 77-94.
Ghosh S, Lee LH, Ng SH. Bunkering decisions for a shipping liner in an uncertain environment with service contract. European Journal of Operational Research. 2015;244(3): 792-802.
Yanyan T, Jianfeng M. Towards Green Shipping with Integrated Bunkering and Cruising Policy. IFAC Proceedings Volumes. 2014;47: 314-9.
Vilhelmsen C, Lusby R, Larsen J. Tramp ship routing and scheduling with integrated bunker optimization. EURO Journal of Transportation & Logistics. 2014;3(2): 143.
Sheng XM, Lee LH, Chew EP. Dynamic determination of vessel speed and selection of bunkering ports for liner shipping under stochastic environment. OR Spectrum. 2014;36(2): 455-80.
Plum CEM, Jensen PN, Pisinger D. Bunker purchasing with contracts. Maritime Economics & Logistics. 2014;16(4): 418.
Kim HJ. A Lagrangian heuristic for determining the speed and bunkering port of a ship. J Oper Res Soc. 2014;65(5): 747-54.
Zhen L, Shen T, Wang S, Yu S. Models on ship scheduling in transshipment hubs with considering bunker cost. International Journal of Production Economics. 2016;173: 111-21.
Meng Q, Wang S, Lee C-Y. A tailored branch-and-price approach for a joint tramp ship routing and bunkering problem. Transportation Research Part B: Methodological. 2015;72: 1-19.
Wang S, Meng Q, Liu Z. Bunker consumption optimization methods in shipping: A critical review and extensions. Transportation Research Part E: Logistics and Transportation Review. 2013;53: 49-62.
Christiansen M, Fagerholt K, Nygreen B, Ronen D. Chapter 4 Maritime Transportation. Handbooks in Operations Research and Management Science. Vol. 14; 2007. p.189-284. Available from: doi:10.1016/S0927-0507(06)14004-9
Meng Q, Wang T, Wang S. Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand. European Journal of Operational Research. 2012;223(1): 96-105.
Acosta M, Coronado D, Del Mar Cerban M. Bunkering competition and competitiveness at the ports of the Gibraltar Strait. Journal of Transport Geography. 2011;19: 911-6.
Wang Y, Yeo G-T, Ng AKY. Choosing optimal bunkering ports for liner shipping companies: A hybrid Fuzzy-Delphi–TOPSIS approach. Transport Policy. 2014;35: 358-65.
Franek J, Kresta A. Judgment Scales and Consistency Measure in AHP. Procedia Economics and Finance. 2014;12: 164-73.
Saaty RW. The analytic hierarchy process—what it is and how it is used. Mathematical Modelling. 1987;9(3–5): 161-76.
Saaty TL. The analytic hierarchy process: planning, priority setting, resource allocation. New York [u.a.]: McGraw-Hill; 1980.
Tuljak-Suban D, Twrdy E. Decision support for optimal repositioning of containers in a feeder system. Promet - Traffic - Traffico. 2008;20(2): 71-7.
Zadeh LA. Fuzzy sets. Information and Control. 1965;8(3): 338-53.
Chou CC. The canonical representation of multiplication operation on triangular fuzzy numbers. Computers & Mathematics with Applications. 2003;45(10): 1601-10.
Wang Y-J. Ranking triangle and trapezoidal fuzzy numbers based on the relative preference relation. Applied Mathematical Modelling. 2015;39(2): 586-99.
de Barros LC, Bassanezi RC, Lodwick WA. A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics: Theory and Applications. Springer Berlin Heidelberg; 2016.
Tuljak Suban D, Bogataj M. An Optimal Ordering Cycle at Interactions of Fuzzy Parameters and High Disposal Fees of Food or Drug Supply Systems. IFAC-PapersOnLine. 2015;48(3): 2374-9. Available from: doi:10.1016/j.ifacol.2015.06.443
Ginevičius R. Normalization of quantities of various dimensions. Journal of Business Economics and Management. 2008;9(1): 79-86.
NAPA. North Adriatic Ports Association. 2013.
Tracking V. Ship and Container Tracking. Available from: http://www.vesseltracking.net/ship/asiatic-moon-
Dell'Acqua G, Wegman F. Transport Infrastructure and Systems. Proceedings of the AIIT International Congress on Transport Infrastructure and Systems, 10-12 April 2017, Rome, Italy. CRC Press; 2017.
Notteboom TE, Vernimmen B. The effect of high fuel costs on liner service configuration in container shipping. Journal of Transport Geography. 2009;17(5): 325-37.
Notteboom T, Cariou P, editors. Fuel surcharge practices of container shipping lines: Is it about cost recovery or revenue making: Proceedings of the 2009 International Association of Maritime Economists (IAME) Conference, 24-26 June 2009, Copenhagen, Denmark. ITMMA; 2009.
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
