EconPapers    
Economics at your fingertips  
 

Berth and quay crane allocation: a moldable task scheduling model

J Blazewicz, T C E Cheng, M Machowiak and C Oguz ()
Additional contact information
J Blazewicz: Institute of Computing Science, Poznan University of Technology
T C E Cheng: The Hong Kong Polytechnic University, Hong Kong SAR
M Machowiak: Institute of Computing Science, Poznan University of Technology
C Oguz: Koç University

Journal of the Operational Research Society, 2011, vol. 62, issue 7, 1189-1197

Abstract: Abstract We study the problem of allocating berths to incoming ships and assigning the necessary quay cranes to the ships at a port container terminal. We formulate the problem as the moldable task scheduling problem by considering the tasks as ships and processors as quay cranes assigned to the ships based on the observation that the berthing duration of a ship depends on the number of quay cranes allocated to it. In the model, the processing speed of a task is considered to be a non-linear function of the number of processors allocated to it. We present a suboptimal algorithm that obtains a feasible solution to the discrete version of the problem from the continuous version, that is, where the tasks may require fractional quantities of the resources. We conducted computational experiments to evaluate the performance of the algorithm. The computational results show that the average behaviour of the algorithm is very good.

Keywords: berth allocation; quay crane allocation; moldable task; resource allocation; parallel computing (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://link.springer.com/10.1057/jors.2010.54 Abstract (text/html)
Access to full text is restricted to subscribers.

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:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.54

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

DOI: 10.1057/jors.2010.54

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.54