Dang, Quang-Vinh7; Nielsen, Izabela Ewa1; Yun, W. Y.8
1 Applied Operations Research & Operations Management, The Faculty of Engineering and Science, Aalborg University, VBN2 Aalborg U Robotics, The Faculty of Humanities, Aalborg University, VBN3 Department of Mechanical and Manufacturing Engineering, The Faculty of Engineering and Science, Aalborg University, VBN4 The Faculty of Engineering and Science (ENG), Aalborg University, VBN5 Logistics - CELOG, The Faculty of Engineering and Science, Aalborg University, VBN6 Logistics, The Faculty of Engineering and Science, Aalborg University, VBN7 Department of Production, The Faculty of Engineering and Science (ENG), Aalborg University, VBN8 unknown
This research focuses on the problem of positioning empty containers in a port area with multiple depots. Three options are considered: positioning from other overseas ports, inland positioning between depots and leasing. The policies for empty-container management are as follows: a coordinated (s, S) inventory policy for overseas positioning, a (ri, Ri) policy at each depot for inland positioning, and a simple leasing policy with zero lead-time and infinite capacity. For the inland positioning policy, four different methods are proposed to reposition empty containers between depots. The objective is to obtain the optimal policy in order to minimize the expected total cost consisting of: inventory holding, overseas positioning, inland positioning and leasing costs. A simulation-based genetic algorithm is developed to find near-optimal policies. Numerical examples are given to demonstrate the effectiveness of the proposed approach and examine the sensitivity of results with respect to system parameters.
Maritime Economics and Logistics, 2013, Vol 15, Issue 1
Empty Containers Positioning; Control Policies; Simulation; Genetic Algorithm; Stochastic