Optimizing production levels in maritime inventory routing with load-dependent speed optimization

Abdalrahman Algendi, Sebastián Urrutia and Lars Magnus Hvattum ()
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Abdalrahman Algendi: Molde University College
Sebastián Urrutia: Molde University College
Lars Magnus Hvattum: Molde University College

Flexible Services and Manufacturing Journal, 2023, vol. 35, issue 1, No 5, 141 pages

Abstract: Abstract Maritime inventory routing problems with load-dependent speed optimization involves determining optimal routes, as well as vessel speeds and loads at these routes, so that inventory limits are satisfied at both production and consumption ports. This paper considers a variant where production rates can be selected from several available alternative production levels, as opposed to the normal situation where production rates are chosen a priori. In both cases, production rates remain constant for the duration of the planning horizon. The effect on transportation costs when considering production levels as decision variables is evaluated. The resulting solutions are compared with solutions obtained when production rates are considered as fixed parameters. Computational experiments on a set of benchmark instances from the literature confirm that the process of determining the optimal production levels plays a crucial role in improving the solutions to maritime inventory routing problems with load-dependent speed optimization. Optimizing the production levels can reduce transportation costs by up to 35%.

Keywords: Mixed integer programming; Non-linear; Fuel consumption; Transport (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10696-022-09460-z

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