Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.22, sa.3, ss.437-449, 2007 (SCI-Expanded)
In this study, in order to satisfy transportation demands with cheapest cost, a decision support application relying on a simultaneous pick-up and delivery type vehicle routing models and algorithms, is used. Since the demand parameters are variable, a decision support coding (VRP 2.0) is constructed to simplify routing problem in a dynamic way. In this coding, interfaces are written in Visual Basic 6.0, and computations are executed by a program coded in C++ 6.0. On point of travel distance, numbers of vehicles used and their respective costs are determined; results are compared with the current transportation systems used.