An integrated vessel schedule and aggregated cargo route recovery model

Grzegorz Siekaniec, David Franz Koza, David Pisinger, Leo Emil Sokoler

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

7 Downloads (Pure)

Abstract

Despite a precisely established plan, disruptions are a reality in liner shipping. They are caused by unforeseen factors such as weather, port congestion, low terminal productivity, crane breakdowns etc. Disruptions vary in magnitude. Smaller disruptions, such as the temporary stop of a crane operations due to fog, often impacts only a single vessel. In contrast, the closure of a hub terminal as Algeciras for two days due to rough weather in Gibraltar Straits has severe ripple effects that spread across the entire network. Recovery actions for such major events require rescheduling of multiple vessels, as well as cargo re-routing. Maersk, in cooperation with the Technical University of Denmark, is working on a decision support tool aimed at recovering operations after disruptions of different sizes in near real time. The tool uses an integrated approach that jointly optimizes vessel schedules and cargo routes. The objective is to minimize (a) operational cost, mainly vessel related such as fuel and port stays, and (b) impact on cargo delivery dates. The outcome is "cargo-friendly" revised vessel schedules that recovers operations within a fixed time horizon. The practical considerations and mathematical formulation of the model(s) will be presented together with preliminary computational results.
Original languageEnglish
Publication date2019
Publication statusPublished - 2019
Event30th European Conference On Operational Research
- University College Dublin, Dublin, Ireland
Duration: 23 Jun 201926 Jun 2019
Conference number: 30
https://www.euro2019dublin.com/

Conference

Conference30th European Conference On Operational Research
Number30
LocationUniversity College Dublin
CountryIreland
CityDublin
Period23/06/201926/06/2019
Internet address

Cite this

Siekaniec, G., Koza, D. F., Pisinger, D., & Sokoler, L. E. (2019). An integrated vessel schedule and aggregated cargo route recovery model. Abstract from 30th European Conference On Operational Research
, Dublin, Ireland.
Siekaniec, Grzegorz ; Koza, David Franz ; Pisinger, David ; Sokoler, Leo Emil. / An integrated vessel schedule and aggregated cargo route recovery model. Abstract from 30th European Conference On Operational Research
, Dublin, Ireland.
@conference{1469fb84ce014658b8061a5d5bc9a9ad,
title = "An integrated vessel schedule and aggregated cargo route recovery model",
abstract = "Despite a precisely established plan, disruptions are a reality in liner shipping. They are caused by unforeseen factors such as weather, port congestion, low terminal productivity, crane breakdowns etc. Disruptions vary in magnitude. Smaller disruptions, such as the temporary stop of a crane operations due to fog, often impacts only a single vessel. In contrast, the closure of a hub terminal as Algeciras for two days due to rough weather in Gibraltar Straits has severe ripple effects that spread across the entire network. Recovery actions for such major events require rescheduling of multiple vessels, as well as cargo re-routing. Maersk, in cooperation with the Technical University of Denmark, is working on a decision support tool aimed at recovering operations after disruptions of different sizes in near real time. The tool uses an integrated approach that jointly optimizes vessel schedules and cargo routes. The objective is to minimize (a) operational cost, mainly vessel related such as fuel and port stays, and (b) impact on cargo delivery dates. The outcome is {"}cargo-friendly{"} revised vessel schedules that recovers operations within a fixed time horizon. The practical considerations and mathematical formulation of the model(s) will be presented together with preliminary computational results.",
author = "Grzegorz Siekaniec and Koza, {David Franz} and David Pisinger and Sokoler, {Leo Emil}",
year = "2019",
language = "English",
note = "30th European Conference On Operational Research<br/>, EURO 2019 ; Conference date: 23-06-2019 Through 26-06-2019",
url = "https://www.euro2019dublin.com/",

}

Siekaniec, G, Koza, DF, Pisinger, D & Sokoler, LE 2019, 'An integrated vessel schedule and aggregated cargo route recovery model' 30th European Conference On Operational Research
, Dublin, Ireland, 23/06/2019 - 26/06/2019, .

An integrated vessel schedule and aggregated cargo route recovery model. / Siekaniec, Grzegorz; Koza, David Franz; Pisinger, David; Sokoler, Leo Emil.

2019. Abstract from 30th European Conference On Operational Research
, Dublin, Ireland.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - An integrated vessel schedule and aggregated cargo route recovery model

AU - Siekaniec, Grzegorz

AU - Koza, David Franz

AU - Pisinger, David

AU - Sokoler, Leo Emil

PY - 2019

Y1 - 2019

N2 - Despite a precisely established plan, disruptions are a reality in liner shipping. They are caused by unforeseen factors such as weather, port congestion, low terminal productivity, crane breakdowns etc. Disruptions vary in magnitude. Smaller disruptions, such as the temporary stop of a crane operations due to fog, often impacts only a single vessel. In contrast, the closure of a hub terminal as Algeciras for two days due to rough weather in Gibraltar Straits has severe ripple effects that spread across the entire network. Recovery actions for such major events require rescheduling of multiple vessels, as well as cargo re-routing. Maersk, in cooperation with the Technical University of Denmark, is working on a decision support tool aimed at recovering operations after disruptions of different sizes in near real time. The tool uses an integrated approach that jointly optimizes vessel schedules and cargo routes. The objective is to minimize (a) operational cost, mainly vessel related such as fuel and port stays, and (b) impact on cargo delivery dates. The outcome is "cargo-friendly" revised vessel schedules that recovers operations within a fixed time horizon. The practical considerations and mathematical formulation of the model(s) will be presented together with preliminary computational results.

AB - Despite a precisely established plan, disruptions are a reality in liner shipping. They are caused by unforeseen factors such as weather, port congestion, low terminal productivity, crane breakdowns etc. Disruptions vary in magnitude. Smaller disruptions, such as the temporary stop of a crane operations due to fog, often impacts only a single vessel. In contrast, the closure of a hub terminal as Algeciras for two days due to rough weather in Gibraltar Straits has severe ripple effects that spread across the entire network. Recovery actions for such major events require rescheduling of multiple vessels, as well as cargo re-routing. Maersk, in cooperation with the Technical University of Denmark, is working on a decision support tool aimed at recovering operations after disruptions of different sizes in near real time. The tool uses an integrated approach that jointly optimizes vessel schedules and cargo routes. The objective is to minimize (a) operational cost, mainly vessel related such as fuel and port stays, and (b) impact on cargo delivery dates. The outcome is "cargo-friendly" revised vessel schedules that recovers operations within a fixed time horizon. The practical considerations and mathematical formulation of the model(s) will be presented together with preliminary computational results.

M3 - Conference abstract for conference

ER -

Siekaniec G, Koza DF, Pisinger D, Sokoler LE. An integrated vessel schedule and aggregated cargo route recovery model. 2019. Abstract from 30th European Conference On Operational Research
, Dublin, Ireland.