An Accurate Model for Seaworthy Container Vessel Stowage Planning with Ballast Tanks

Pacino, Dario; Delgado, Alberto; Jensen, Rune Møller; Bebbington, Tom

doi:10.1007/978-3-642-33587-7_2

Cited by 22 publications

(24 citation statements)

References 6 publications

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“…Aside from these stacking constraints, a loaded vessel must also be seaworthy, meaning that it must be stable while sailing, that it does not run aground when calling a port etc. We refer the reader to [6,7] for a detailed description of all the constraints governing stowage planning in practice. In this paper, we focus on a simplified version of the problem where only the main combinatorial aspects regarding crane intensity are taken into account.…”

Section: Background and Problem Definitionmentioning

confidence: 99%

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Crane Intensity and Block Stowage Strategies in Stowage Planning

Pacino

2018

Lecture Notes in Computer Science

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Section: Background and Problem Definitionmentioning

confidence: 99%

“…[10,5,12,3]), and applied approached where heuristic and decomposition methods aim at solving rich stowage planning problems that can be implemented in practice (i.e. [1,2,[6][7][8]). Theoretical works are characterised by simple definitions of the problem where e.g.…”

Section: Introductionmentioning

confidence: 99%

Crane Intensity and Block Stowage Strategies in Stowage Planning

Pacino

2018

Lecture Notes in Computer Science

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“…Single phase approaches represent the stowage planning problem in a single optimization model, whereas multi-phase approaches decompose the problem into two or more phases. The most successful approaches found in recent literature, see, e.g., [11,12,9,16,14], decompose the problem into two phases: the Master Bay Planning Problem (MBPP) and the Slot Planning Problem (SPP). The Master Bay Planning Problem distributes the containers to bay sections of the vessel, the Slot Planning Problem then assigns the containers in each bay section to specific slots.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

“…This model is then solved after relaxing some of the variables. Pacino et al [12] develop a linear integer programming model with ballast tanks which leads to variable displacement for the MP-MBPP. They present a linearization approach for the center of gravity and hydrostatic data tables of the vessel, to formulate stability and stress constraints that can handle variable displacement.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Including Containers with Dangerous Goods in the Multi-Port Master Bay Planning Problem

Kebedow

Oppen

2018

mendel

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In this paper we extend existing models for Master Bay Planning by handling containers holding dangerous goods, so-called IMO containers. Incompatible IMO containers must be separated from each other on board a vessel according to specic rules. These rules affect both Master Bay Planning and Slot Planning, which are the two planning problems normally handled in container stowage planning. Some research is doneto include IMO containers in Slot Planning, but, to the best of our knowledge, this is the rst time handling of IMO containers is included in Master Bay Planning. We present results from computational tests showing that our model can be solved to optimality, or near optimality, in reasonable time for realistically sized instances.

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“…Various objective functions are considered, as well as different solution methods are proposed, (see e.g. [1,2,3,28,38,39]). There, the containers are sorted according to their departure ports.…”

Section: Introductionmentioning

confidence: 99%

Robust storage loading problems with stacking and payload constraints

Goerigk

Knust

2016

European Journal of Operational Research

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We consider storage loading problems where items with uncertain weights have to be loaded into a storage area, taking into account stacking and payload constraints. Following the robust optimization paradigm, we propose strict and adjustable optimization models for finite and interval-based uncertainties. To solve these problems, exact decomposition and heuristic solution algorithms are developed. For strict robustness, we also propose a compact formulation based on a characterization of worst-case scenarios. Computational results for randomly generated data with up to 300 items are presented showing that the robustness concepts have different potential depending on the type of data being used.

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An Accurate Model for Seaworthy Container Vessel Stowage Planning with Ballast Tanks

Cited by 22 publications

References 6 publications

Crane Intensity and Block Stowage Strategies in Stowage Planning

Crane Intensity and Block Stowage Strategies in Stowage Planning

Including Containers with Dangerous Goods in the Multi-Port Master Bay Planning Problem

Robust storage loading problems with stacking and payload constraints

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