SOLVING VEHICLE TRANSSHIPMENT PROBLEM USING MULTI-OBJECTIVE OPTIMIZATION

With rapid growth of demands, transportation of goods today becomes much busier. Finding the optimal transport job assignment for the requested demands is essential for transportation service providers. This paper develops a multi-objective model using priori preference methods such as lexicographic and goal programming (GP) to complete the satisfactory level of all objectives for a transshipment problem which presents variant of vehicle types and routing. The problem focuses to determine the number of vehicles owned by different clients (origin points) that will be transferred to a meeting point area to process a transport service or upload goods in order to be transferred to a destination point. The proposed model is tested using a real-life data from a transportation company located in the state of Kuwait. Perhaps, no previous work has been conducted in the state of Kuwait that refers to solve a transshipment problem run by vehicles as an optimization problem. By adopting the proposed model, we can expect to minimize traveling time from origin point to the meeting point and total transportation cost from the meeting point to the destination point while satisfying all the demands.