Abstract

This paper studies the problem of stowage planning within a vessel bay in a multiple port transportation route, aiming at minimizing the total container shifting fee. Since the access to containers is in the top-to-bottom order for each stack, reshuffle operations occur when a target container to be unloaded at its destination port is not stowed on the top of a stack at the time. Each container shift via a quay crane induces one unit of shifting fee that depends on the charge policy of the local container port. Previous studies assume that each container shift consumes a uniform cost in all ports and thus focus on minimizing the total number of shifts or the turnaround time of the vessel. Motivated by the observation that different ports are of nonuniform fee for each container shift, we propose a mixed integer programming (MIP) model for the problem to produce an optimal stowage planning with minimum total shifting fee in this work. Moreover, as the considered problem is NP-hard due to the NP-hardness of its counterpart with uniform unit shifting fee, we propose an improved genetic algorithm to solve the problem. The efficiency of the proposed algorithm is demonstrated via numerical experiments.

Highlights

  • In the world seaborne trade, most goods are transported by containerships

  • If a target container to be unloaded from the vessel is not stowed on the top of a stack, it incurs reshuffle operations as the access to containers follows the top-to-bottom order for any stack

  • We conclude that when the shifting fees are nonuniform in different ports, in order to avoid generating a large amount of shifting fee in the ports with expensive shifting fees, shifting activities may happen in some preceding ports with cheaper shifting fees

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Summary

Introduction

In the world seaborne trade, most goods are transported by containerships. Containership maritime transports have occupied the vast majority of the maritime transport industry, among which container trade is becoming the fastestgrowing freight segment (see [1]). The unloading/reloading operations of the involved nontarget containers cause extra shifting fees as well as time consumption. An efficient stowage solution to the vessel may greatly reduce such shifting fees in a transportation route. The observation motivates us to investigate the stowage planning problem such that the total shifting fee other than the total number of shifts for a vessel is minimized in a multiple port transportation route. We have not found any related work on total shifting fee minimization for the case with nonuniform unit shifting fee. Aiming at this problem, we establish an MIP model and design an efficient algorithm to produce good stowage planning solutions.

Literature Review
Problem Description
Notations
MIP Formulation
Solution Procedure
An Improved Genetic Algorithm
Numerical Experiments
Conclusion
Full Text
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