Optimal Selection of Multi-Fuel Engines for Ships Considering Fuel Price Uncertainty
نویسندگان
چکیده
Maritime transport serves as the backbone of international trade, accounting for more than 90% global trade. Although maritime is cheaper and safer other modes transport, it often means long sailing distances, which results in substantial fuel consumption emissions. Liner shipping, a vital component plays an important role achieving sustainable operations, necessitating implementation green liner shipping practices. Therefore, this study formulates nonlinear integer programming model multi-fuel engine selection optimization problem to optimally determine ship order choice terms type, fleet deployment, selection, speed optimization, with aim minimizing total weekly cost containing investment orders cost. Given complexity solving models, several linearization techniques are applied transform into linear that can be directly solved by Gurobi. To evaluate performance model, 20 sets numerical instances with, at most, seven routes conducted. The show among instances, 16 optimality within two hours. average gap value remaining four cannot hours 0.51%. Additionally, sensitivity analyses performed examine crucial parameters, such ordering ships, budget, potential application new types, thereby exploring managerial insights. In conclusion, our findings indicate equipping ships low-sulfur oil engines proves most economical advantageous option selected scenarios. Furthermore, fuel, + methanol liquefied natural gas engines, beneficial when does not exceed $13,000, under current parameter setting.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11173621