Document Type : Research Paper


1 I. U. D. R., University of La Laguna, E-38271 Tenerife, Spain

2 Department C. C. I. A., University of Granada, E-18071 Granada, Spain


Transport route planning is one of the most important and frequent
activities in supply chain management. The design of information systems
for route planning in real contexts faces two relevant challenges: the
complexity of the planning and the lack of complete and precise information.
The purpose of this paper is to nd methods for the development of transport
route planning in uncertainty decision making contexts. The paper uses an
approximation that integrates a speci c fuzzy-based methodology from Soft
Computing. We present several fuzzy optimization models that address the
imprecision and/or exibility of some of its components. These models allow
transport route planning problems to be solve with the help of metaheuristics
in a concise way. A simple numerical example is shown to illustrate this


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