The problems arising in commercial distribution are complex and involve
several players and decision levels. One important decision is related
with the design of the routes to distribute the products, in an
efficient and inexpensive way.
This article deals with a complex vehicle routing problem that can be
seen as a new extension of the basic vehicle routing problem. The
proposed model is a multi-objective combinatorial optimization problem
that considers three objectives and multiple periods, ...
The problems arising in commercial distribution are complex and involve
several players and decision levels. One important decision is related
with the design of the routes to distribute the products, in an
efficient and inexpensive way.
This article deals with a complex vehicle routing problem that can be
seen as a new extension of the basic vehicle routing problem. The
proposed model is a multi-objective combinatorial optimization problem
that considers three objectives and multiple periods, which models in a
closer way the real distribution problems. The first objective is cost
minimization, the second is balancing work levels and the third is a
marketing objective. An application of the model on a small example, with
5 clients and 3 days, is presented. The results of the model show the
complexity of solving multi-objective combinatorial optimization
problems and the contradiction between the several distribution management
objective.
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