---
_id: '13156'
abstract:
- lang: eng
  text: Liner carriers change their network on a regular basis, and they are therefore
    interested in a practical evaluation of the impact these changes have on the cargo
    flows in their networks. Despite great advancements in the practical applicability
    of network evaluators in recent years, vessel deployment continues to be considered
    as an input into the problem, rather than a decision. In this paper, we propose
    an extension of a state-of-the-art mixed integer programming model for the LSCAP
    that incorporates the optimization of vessel count and vessel classes for each
    service. We perform a computational analysis on liner shipping networks of different
    sizes and compare our optimized results to fixed deployment scenarios. By integrating
    fleet deployment decisions into the cargo allocation problem, liner carriers can
    increase the profitability of their networks by at least 2.8 to 16.9{\%} and greatly
    enhance their decision making.
author:
- first_name: Daniel
  full_name: Müller, Daniel
  last_name: Müller
- first_name: Stefan
  full_name: Guericke, Stefan
  last_name: Guericke
- first_name: Kevin
  full_name: Tierney, Kevin
  last_name: Tierney
citation:
  ama: 'Müller D, Guericke S, Tierney K. Integrating Fleet Deployment into the Liner
    Shipping Cargo Allocation Problem. In: Bektac T, Coniglio S, Martinez-Sykora A,
    Voß S, eds. <i>Computational Logistics</i>. Cham: Springer International Publishing;
    2017:306-320.'
  apa: 'Müller, D., Guericke, S., &#38; Tierney, K. (2017). Integrating Fleet Deployment
    into the Liner Shipping Cargo Allocation Problem. In T. Bektac, S. Coniglio, A.
    Martinez-Sykora, &#38; S. Voß (Eds.), <i>Computational Logistics</i> (pp. 306–320).
    Cham: Springer International Publishing.'
  bibtex: '@inproceedings{Müller_Guericke_Tierney_2017, place={Cham}, title={Integrating
    Fleet Deployment into the Liner Shipping Cargo Allocation Problem}, booktitle={Computational
    Logistics}, publisher={Springer International Publishing}, author={Müller, Daniel
    and Guericke, Stefan and Tierney, Kevin}, editor={Bektac, Tolga and Coniglio,
    Stefano and Martinez-Sykora, Antonio and Voß, StefanEditors}, year={2017}, pages={306–320}
    }'
  chicago: 'Müller, Daniel, Stefan Guericke, and Kevin Tierney. “Integrating Fleet
    Deployment into the Liner Shipping Cargo Allocation Problem.” In <i>Computational
    Logistics</i>, edited by Tolga Bektac, Stefano Coniglio, Antonio Martinez-Sykora,
    and Stefan Voß, 306–20. Cham: Springer International Publishing, 2017.'
  ieee: D. Müller, S. Guericke, and K. Tierney, “Integrating Fleet Deployment into
    the Liner Shipping Cargo Allocation Problem,” in <i>Computational Logistics</i>,
    2017, pp. 306–320.
  mla: Müller, Daniel, et al. “Integrating Fleet Deployment into the Liner Shipping
    Cargo Allocation Problem.” <i>Computational Logistics</i>, edited by Tolga Bektac
    et al., Springer International Publishing, 2017, pp. 306–20.
  short: 'D. Müller, S. Guericke, K. Tierney, in: T. Bektac, S. Coniglio, A. Martinez-Sykora,
    S. Voß (Eds.), Computational Logistics, Springer International Publishing, Cham,
    2017, pp. 306–320.'
date_created: 2019-09-09T09:30:08Z
date_updated: 2022-01-06T06:51:29Z
editor:
- first_name: Tolga
  full_name: Bektac, Tolga
  last_name: Bektac
- first_name: Stefano
  full_name: Coniglio, Stefano
  last_name: Coniglio
- first_name: Antonio
  full_name: Martinez-Sykora, Antonio
  last_name: Martinez-Sykora
- first_name: Stefan
  full_name: Voß, Stefan
  last_name: Voß
language:
- iso: eng
page: 306-320
place: Cham
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Computational Logistics
publication_identifier:
  isbn:
  - 978-3-319-68496-3
publisher: Springer International Publishing
status: public
title: Integrating Fleet Deployment into the Liner Shipping Cargo Allocation Problem
type: conference
user_id: '40778'
year: '2017'
...