Due to the high running cost of CNC machines so the most studies are based on optimization of resident time of CNC by using such an optimization method according to the huge number of approached points in different machining features especially in multi components case. Most research in this area has concentrated on optimization of rapid movements (air time motion) and machining movements of drilling, pocketing, and face milling operations. Minimizing the machining time during chip generation by optimizing the cutting parameters, the tool sequence and the tool pathsto be used during cutting were studied by many researchers. However, the optimization of components location is not presented till now in spite of its effect on tool travel as well as machining cost. In this study, a methodology is developed to find the optimum location of a work-piece on the long table of a CNC milling machine which leads to minimum X, Y and Z axes movement between manufacturing features on different components. The near optimum location of the workpiece is set corresponding to the minimum movement of different axes and number of tool changes of the milling machine. A new methodology is used in this study using Genetic algorithm (GA) and Rank Order techniques to determine the near optimum location of the work-piece. (This save the energy consumption and improve the resident time) significantly.