In this paper, a mixed-integer programming (MIP) based capacity planning model for the electrical die sorting (EDS) process where probe cards are used as consumables in semiconductor facilities is presented. The model is designed to satisfy the demand while maximizing the utilization of testers and probe cards in hand. As a result, the level of resource procurement can stay at the minimum level in which directly can be translated into positive profitability. This research employs the decomposition methodology to convert the MIP formulation into a “solver recognizable” format. By doing so, the decomposed model can provide near-optimal solutions instantaneously for practical application and the positive outcome is projected to be over several million dollars.