A decision tool for scheduling fleets of fuel supply vessels

Nikolaos Rachaniotis () and Marisa Masvoula ()
Additional contact information
Marisa Masvoula: General Secretariat of Information Systems

Operational Research, 2020, vol. 20, issue 3, No 14, 1543-1557

Abstract: Abstract Fleets of fuel supply vessels are used to provide ships anchored in ports different oil products. Demand is satisfied based on a pull system, where oil shipments are triggered by orders placed by customers and delivered on a specific agreed day. The aim of this paper is to develop a time-effective decision tool in order to aid the fleet schedulers to decide in a very short time (usually less than 10 min in the ships’ fuel supply business) if they will accept new orders, based on the fleet’s capacity and availability, and generate a feasible near-optimal operation schedule. The tool was tested in a small Hellenic oil company and the empirical evaluation is presented.

Keywords: Decision tool; OR in maritime industry; Transportation; Scheduling (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-018-0377-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0377-2

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-018-0377-2

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().