Berth allocation planning in Seville inland port by simulation and optimisation

  • Authors:

  • Carlos Arango;Pablo Cortés;Jesús Muñuzuri;Luis Onieva

  • Affiliations:

  • Ingeniería de Organización, Engineering School of Seville, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain;Ingeniería de Organización, Engineering School of Seville, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain;Ingeniería de Organización, Engineering School of Seville, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain;Ingeniería de Organización, Engineering School of Seville, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain

  • Venue:
  • Advanced Engineering Informatics
  • Year:
  • 2011

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Abstract

We study the problems associated with allocating berths for containerships in the port of Seville. It is the only inland port in Spain and it is located on the Guadalquivir River. This paper addresses the berth allocation planning problems using simulation and optimisation with Arena software. We propose a mathematical model and develop a heuristic procedure based on genetic algorithm to solve non-linear problems. Allocation planning aims to minimise the total service time for each ship and considers a first-come-first-served allocation strategy. We conduct a large amount of computational experiments which show that the proposed model improves the current berth management strategy.