An Intelligent System for Identifying Feasible Routes for Truck Routing Problem: An Application to a Thai Adhesive and Sealant Company (ATASC)

This paper proposes an algorithm implemented in a web application to find feasible route for planning in truck transportation. The logistic route planning problem has attracted a lot of effort, however, most of the earlier researches are not be directly applicable to this problem because practical logistic constraints such as the width of the road or height of the tunnel are not considered. Furthermore, drivers' basic needs in taking the time off for relaxation and lunch are involved into the delivery time computation as well. The web application has an ample amount of trials which were compared to a database of transportation in real-time. The results from a case study of Thai Adhesive and Sealant Company show a significant improvement, approximately about thirty-five percent, in forecast preciseness while the mistake rate is dropped. Moreover, this application can be applied to other industries that require feasible trucking logistics planning.