Stowing a containership: the master bay plan problem

Daniela Ambrosino, Anna Sciomachen and Elena Tanfani

Transportation Research Part A: Policy and Practice, 2004, vol. 38, issue 2, 81-99

Abstract: In this paper we are involved with the so-called master bay plan problem (MBPP), that is the problem of finding optimal plans for stowing containers into a containership, with respect to a set of structural and operational restrictions. We describe in detail such constraints and give a basic 0-1 Linear Programming model for MBPP. Successively, we present a heuristic approach that enables us to relax some relations from the model and give some prestowage rules for being able to solve this combinatorial optimization problem. In particular, we split the set of available locations of the ship into different subsets and force the stowage of containers within them depending on their features and handling operations. A validation of the proposed approach is given together with the analysis of real instances of the problem coming from a maritime terminal located in the city of Genoa.

Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965-8564(03)00089-2
Full text for ScienceDirect subscribers only

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:eee:transa:v:38:y:2004:i:2:p:81-99

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().