Current state and trends in tramp ship routing and scheduling
Citation Link: https://doi.org/10.15480/882.2504
Publikationstyp
Conference Paper
Date Issued
2019-09-26
Sprache
English
Institut
TORE-DOI
TORE-URI
First published in
Number in series
28
Start Page
369
End Page
394
Citation
Hamburg International Conference of Logistics (HICL) 28: 369-394 (2019)
Contribution to Conference
Publisher
epubli
ISBN
978-3-7502-4949-3
ISBN of container
978-3-750249-49-3
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.
Subjects
Tramp shipping
Routing and scheduling
Maritime transportation
Cargo routing
DDC Class
004: Informatik
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
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