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Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model

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Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model

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Grillo Espinoza, H.; Peidro Payá, D.; Alemany Díaz, MDM.; Mula, J. (2015). Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model. International Journal of Bio-Inspired Computation. 7(3):157-169. doi:10.1504/IJBIC.2015.069557

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/70306

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Title: Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model
Author:
UPV Unit: Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Abstract:
Traditionally, supply chain planning problems consider variables with uncertainty associated with uncontrolled factors. These factors have been normally modelled by complex methodologies where the seeking solution process ...[+]
Subjects: Metaheuristics , Particle swarm optimisation , PSO , Backward calculation , Fuzzy sets , Master planning , Supply chain , Bio inspired computation
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Bio-Inspired Computation. (issn: 1758-0366 ) (eissn: 1758-0374 )
DOI: 10.1504/IJBIC.2015.069557
Publisher:
Inderscience
Publisher version: http://dx.doi.org/10.1504/IJBIC.2015.069557
Thanks:
This research is partly supported by the Spanish Ministry of Economy and Competitiveness projects 'Methods and models for operations planning and order management in supply chains characterised by uncertainty in production ...[+]
Type: Artículo

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