We aim to prove whether if Simulated Annealing algorithm and Pareto Simulated Annealing are suitable for handle cabinet’s component placement optimization problem and which parameters (e.g. start temperature, optimization objective) for SA and PSA are most appropriate for this problem. The objectives are to minimize total wire length and heat level of placement. We present prototype programs, which automatically generates optimal component placement for customized cabinets with extracted component and wire information from a .csv file. Then test these programs with different parameters to determine which is most suitable. The search space could be ridiculously large, that is why the cost function for the single objective is optimized using SA, and optimization of multi-objective cost function uses PSA. We demonstrate the usefulness of our approach with a set of examples. To the best of our knowledge, this is the first attempt to address the multi-objective optimization of component placement within a control cabinet.