Comparing Two Optimization Approaches for Ship Weather Routing

Laura Walther (), Srikanth Shetty (), Anisa Rizvanolli () and Carlos Jahn ()
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Laura Walther: Fraunhofer CML
Srikanth Shetty: Fraunhofer CML
Anisa Rizvanolli: Fraunhofer CML
Carlos Jahn: Fraunhofer CML

A chapter in Operations Research Proceedings 2016, 2018, pp 337-342 from Springer

Abstract: Abstract Weather routing in maritime shipping is related to a shipping company’s objective to achieving maximum efficiency, economy and cost competitiveness by optimizing each voyage of a ship. A voyage can be optimized regarding cost, time, safety or a combination of these factors, while considering forecasted meteorological and oceanographic information as well as constraints given by geographic conditions, ship characteristics, emission regulations, safety requirements or time restrictions. A wide variety of mathematical models of the ship weather routing problem as well as different approaches to solve it can be found in the literature and are applied by numerous software systems. This paper presents two approaches to solve the ship weather routing problem, a graph algorithm and an evolutionary approach. Both approaches aim to minimize fuel costs, allowing for route and speed optimization. They are compared based on numerical examples with real-world data.

Keywords: Weather Routing; Fuel Cost; Minimum Fuel Costs; Maritime Shipping; Maximum Achievable Efficiency (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-55702-1_45

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