Konferenzbeitrag

Current state and trends in tramp ship routing and scheduling

Purpose: This paper discusses the current state of routing and scheduling in tramp shipping, an important planning problem on the operational level in maritime logistics. The purpose is to report and compare the existing methods and to investigate possible future additions and improvements. Furthermore, an outlook on potential applications of machine learning for this optimization problem is given. Methodology: In this paper an extensive literature review of reports and journal papers on cargo routing in tramp shipping of the last seven years is conducted. The wide range of findings are categorized by the different considered characteristics. The results are analyzed and trends are pointed out. Findings: Optimization problems in tramp shipping differ in their main properties from liner shipping or classical vehicle routing problems. Thus, different approaches and implementations are required when developing or adapting existing optimization algorithms. The real-world problem is often limited in the optimization, so found solutions are improvements, but cannot fully reflect reality yet. Originality: This paper provides a comprehensive overview of tramp ship routing and scheduling. Although optimization of routing and scheduling in liner shipping is fairly well researched, the publications on tramp shipping are sparse in comparison. This leaves room for future research, as the findings for liner shipping and vehicle routing are not directly applicable to tramp shipping.

Language
Englisch

Bibliographic citation
10419/209197

Classification
Management
Subject
Tramp shipping
Routing and scheduling
Maritime transportation
Cargo routing

Event
Geistige Schöpfung
(who)
Pache, Hannah
Kastner, Marvin
Jahn, Carlos
Event
Veröffentlichung
(who)
epubli GmbH
(where)
Berlin
(when)
2019

DOI
doi:10.15480/882.2504
Handle
URN
urn:nbn:de:gbv:830-882.054938
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Konferenzbeitrag

Associated

  • Pache, Hannah
  • Kastner, Marvin
  • Jahn, Carlos
  • epubli GmbH

Time of origin

  • 2019

Other Objects (12)