US 12,346,871 B1
Application of a multi-objective optimization model for automatic vessel scheduling in liner shipping
Maxim A. Dulebenets, Tallahassee, FL (US)
Assigned to Florida A&M University, Tallahassee, FL (US)
Filed by Florida A&M University, Tallahassee, FL (US)
Filed on Nov. 27, 2023, as Appl. No. 18/519,481.
Application 18/519,481 is a continuation of application No. 16/369,101, filed on Mar. 29, 2019, granted, now 11,829,935.
Claims priority of provisional application 62/652,036, filed on Apr. 3, 2018.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/0835 (2023.01); G06Q 10/1091 (2023.01)
CPC G06Q 10/0835 (2013.01) [G06Q 10/1091 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of optimizing vessel schedule development and delivery for liner shipping vessels while in transit, the method comprising:
creating, via a processor of a computing device, a first set of objectives from a first conflict group and a second set of objectives from a second conflict group to improve scheduling for a singular liner vessel;
generating, via the processor of the computing device, an optimal vessel schedule using a multi-objective mixed integer nonlinear optimization model using the first set of objectives and the second set of objectives;
comparing, via the processor of the computing device, at least one set of objectives of the generated optimal vessel schedule to at least one set of objectives of an original vessel schedule; and
automatically delivering, via the processor of the computing device, the optimal vessel schedule to the graphic user interface associated with the computing device by:
based on a determination that the multi-objective mixed integer nonlinear optimization model minimizes monetary losses in operating the singular liner vessel, automatically adjusting, while in transit, in real-time, a speed, an amount of ports to be visited, and a course path of the singular liner vessel according to the mixed integer nonlinear optimization model; and
based on a determination that the multi-objective mixed integer nonlinear optimization model does not minimize monetary losses in operating the singular liner vessel, automatically maintaining, while in transit, in real-time, a speed, an amount of ports to be visited, and a course path of the singular liner vessel.