http://hdl.handle.net/2117/3630 Mon, 20 May 2013 02:06:24 GMT 2013-05-20T02:06:24Z webmaster.bupc@upc.edu Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació no http://hdl.handle.net/2117/18027 Title: Taxi planning: a multiobjective oriented network design model for on ground aircraft's routing management Authors: Codina Sancho, Esteve; Marín, Ángel Abstract: In this paper a network design model is presented for the problem of how to define an optimal airport topology in order to attend the conflicting movements of the aircrafts on ground during short to medium planning periods and taking into account the dynamic aspects of their interfering movements. Given a set of decision variables affecting the airport’s topology, the model balances a set of conflicting objectives or factors and their results are compared with the routing decisions taken from real data. The model is primarily solved using ”B&B” and the multicriteria approach presented is investigated using real test networks. Fri, 01 Mar 2013 10:05:43 GMT http://hdl.handle.net/2117/18027 2013-03-01T10:05:43Z Codina Sancho, Esteve; Marín, Ángel no In this paper a network design model is presented for the problem of how to define an optimal airport topology in order to attend the conflicting movements of the aircrafts on ground during short to medium planning periods and taking into account the dynamic aspects of their interfering movements. Given a set of decision variables affecting the airport’s topology, the model balances a set of conflicting objectives or factors and their results are compared with the routing decisions taken from real data. The model is primarily solved using ”B&B” and the multicriteria approach presented is investigated using real test networks. http://hdl.handle.net/2117/13842 Title: A multiobjective GRASP for the 1/3 variant of the time and space assembly line balancing problem Authors: Chica, Manuel; Cordon, Oscar; Damas, Sergio; Bautista Valhondo, Joaquín Abstract: Time and space assembly line balancing considers realistic multiobjective versions of the classical assembly line balancing industrial problems, involving the joint optimisation of conflicting criteria such as the cycle time, the number of stations, and/or the area of these stations. The aim of this contribution is to present a new algorithm, based on the GRASP methodology, for the 1/3 variant of this family of industrial problems. This variant involves the joint minimisation of the number and the area of the stations, given a fixed cycle time limit. The good behaviour of our proposal is demonstrated by means of performance indicators in four problem instances and a real one from a Nissan factory. Thu, 10 Nov 2011 11:00:29 GMT http://hdl.handle.net/2117/13842 2011-11-10T11:00:29Z Chica, Manuel; Cordon, Oscar; Damas, Sergio; Bautista Valhondo, Joaquín no Time and space assembly line balancing considers realistic multiobjective versions of the classical assembly line balancing industrial problems, involving the joint optimisation of conflicting criteria such as the cycle time, the number of stations, and/or the area of these stations. The aim of this contribution is to present a new algorithm, based on the GRASP methodology, for the 1/3 variant of this family of industrial problems. This variant involves the joint minimisation of the number and the area of the stations, given a fixed cycle time limit. The good behaviour of our proposal is demonstrated by means of performance indicators in four problem instances and a real one from a Nissan factory. http://hdl.handle.net/2117/13841 Title: Incorporating preferences to a multi-objective ant colony algorithm for time and space assembly line balancing Authors: Chica, Manuel; Cordon, Oscar; Damas, Sergio; Pereira Gude, Jordi; Bautista Valhondo, Joaquín Abstract: We present an extension of a multi-objective algorithm based on Ant Colony Optimisation to solve a more realistic variant of a classical industrial problem: Time and Space Assembly Line Balancing. We study the influence of incorporating some domain knowledge by guiding the search process of the algorithm with preferences-based dominance. Our approach is compared with other techniques, and every algorithm tackles a real-world instance from a Nissan plant. We prove that the embedded expert knowledge is even more justified in a real-world problem. Thu, 10 Nov 2011 10:43:43 GMT http://hdl.handle.net/2117/13841 2011-11-10T10:43:43Z Chica, Manuel; Cordon, Oscar; Damas, Sergio; Pereira Gude, Jordi; Bautista Valhondo, Joaquín no We present an extension of a multi-objective algorithm based on Ant Colony Optimisation to solve a more realistic variant of a classical industrial problem: Time and Space Assembly Line Balancing. We study the influence of incorporating some domain knowledge by guiding the search process of the algorithm with preferences-based dominance. Our approach is compared with other techniques, and every algorithm tackles a real-world instance from a Nissan plant. We prove that the embedded expert knowledge is even more justified in a real-world problem.