Warehouse Picking Model for Single Picker Routing Problem in Multi Dimensional Warehouse Layout Using Genetic Algorithm Approach to Minimize Delay

摘要

Order picking process is one of the most time-consuming activities at a 3PL's warehouse system. This paper aims to determine picking process and routing method in finding the optimal order picking by using Single Picker Routing Problem in a multidimensional warehouse. Single Picker Routing Problem (SPRP) is method development of general Traveling Salesman Problem (TSP). SPRP is used to determine the minimum route in picking process to several points including depot areas and choosing a concerned location. In this paper, we develop a model to minimize travel time considering "x-axis", "y-axis" and "z-axis" (height of racking system) using Genetic Algorithm (GA). Genetic Algorithm as the chosen method is carried out to calculate process quickly because the number of variables in the case study used in. The result of the model is the picking sequence not only considering 2D layout, but also the height of the racking system. By applying the model to the case study, the improvement of picking time is 60%.