In contemporary industrial contexts, the integration of component handling with robotics has become pervasive, encompassing a diverse array of processes. The adaptability inherent in robotics enables the execution of multifarious tasks with a uniform set of hardware components. We propose a novel method for determining the most suitable tool center point (TCP) for part grasping, a method well-suited for highly flexible production environments where a diverse range of parts must be handled. The scientific novelty of the approach lies in its capacity to be employed irrespective of the specific robots, end effectors and sensors. Moreover it estimates all possible grasp TCPs and ranks them as a heat map based on there Grasp Suitability Score (GSS). The method was implemented and verified using 2D images and a vacuum suction end effector. 204/205 object surfaces were correctly identified, and the GSS calculation worked flawlessly for all detected object surfaces.