Luis Onieva

Dr. Luis Onieva


Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2005 in Cities
Verified
Journal Article
Closed access
JMJesús Muñuzuri
Jesús Muñuzuri
JLJuan Larrañeta
Juan Larrañeta
LOLuis Onieva
Luis Onieva
Pablo CortésPablo Cortés
Pablo Cortés

1 April 2020 in Reliability Engineering & System Safety
Verified
Journal Article
Closed access
Alicia Robles VelascoAlicia Robles Velasco
Alicia Robles Velasco
Pablo CortésPablo Cortés
Pablo Cortés
JMJesús Muñuzuri
Jesús Muñuzuri
LOLuis Onieva
Luis Onieva

1 April 2012 in Cities
Verified
Journal Article
Closed access
JMJesús Muñuzuri
Jesús Muñuzuri
Pablo CortésPablo Cortés
Pablo Cortés
JGJosé Guadix
José Guadix
LOLuis Onieva
Luis Onieva

1 January 2020 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
JMJesús Muñuzuri
Jesús Muñuzuri
LOLuis Onieva
Luis Onieva
Pablo CortésPablo Cortés
Pablo Cortés
JGJosé Guadix
José Guadix

1 November 2016 in Journal of Business Research
Verified
Journal Article
Closed access
JGJosé Guadix
José Guadix
Jesús Antonio Carrillo-CastrilloJesús Antonio Carrillo-Castrillo
Jesús Antonio Carrillo-Castrillo
LOLuis Onieva
Luis Onieva
JNJavier Navascués
Javier Navascués

1 August 2011 in Advanced Engineering Informatics
Verified
Journal Article
Open access
CACarlos Alberto Arango-Pastrana
Carlos Alberto Arango-Pastrana
Pablo CortésPablo Cortés
Pablo Cortés
JMJesús Muñuzuri
Jesús Muñuzuri
LOLuis Onieva
Luis Onieva
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.