To study the quota working hours required for the complex processes involved in shipbuilding, an analysis was first conducted on the quota working hours management methods implemented by a certain shipyard based on task package decomposition and management, as well as the issues related to calculating quota hours based on an empirical formula. Next, a Bill of Materials was used to associate components with specific quantities and production information. Then, parameters relevant to the quota working hours were selected from the Bill of Materials, and a neural network-based quota working hours model for electrical outfitting components was established. Finally, the actual Bill of Materials for the production of electrical outfitting components was input into the model for quota working hours estimation validation. The results indicate that the model has good accuracy and provides certain reference value for the estimation of quota working hours.