Patient-Specific Medical Devices

This dataset supports research on multi-device load-balanced scheduling and part placement optimization in the additive manufacturing (AM) of patient-specific medical devices. It consists of 200 medical components randomly selected from the Thingiverse platform (2018), a widely used open-source 3D model repository. The selection covers a diverse range of anatomical parts and medical support devices to simulate real-world clinical production scenarios characterized by high product heterogeneity and complex geometries. Each component is provided in STL format, and the file names correspond to unique part IDs.
Key Features:
200 STL files of patient-specific medical components;
Includes diverse geometries and dimensions simulating real clinical cases;
Ready for integration with AM scheduling and layout algorithms;
Enables evaluation of multi-batch, multi-device scheduling strategies.
Potential Applications:
Additive manufacturing scheduling research;
Geometric layout and nesting optimization;
Clinical production planning simulations;
Data-driven algorithm benchmarking for medical AM.