Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/59078
Authors: 
Díaz-Madroñero, Manuel
Peidro, David
Mula, Josefa
Ferriols, Francisco J.
Year of Publication: 
2010
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 9 [Year:] 2010 [Pages:] 44-68
Abstract (Translated): 
In this paper, a fuzzy multiobjective mathematical programming model for operational transport planning in a supply chain is presented. The objectives of the proposed model are the minimization of the number of used trucks and the total inventory level, by considering vehicle capacities as a fuzzy parameter. We propose a solution methodology to transform the original model into a mixed integer linear programming model with a single objective by using different approaches in the literature. The proposed model is validated with data from a real-world automobile supply chain. Finally, the results for each of the approaches show the improvement obtained by the proposed model in comparison to the heuristic procedure for decision making used in the supply chain under study.
Subjects: 
supply chain planning
transport planning
fuzzy multiobjective linear programming
uncertainty
JEL: 
C61
L00
Document Type: 
Article

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