The availability of spare parts is essential for the maintenance, repair, and remanufacturing of equipment, thus increasing their useful life. However, current practices often rely on large inventories and long lead times, leading to waste, high costs, and unsustainable use of materials. Additive manufacturing (AM) offers a promising alternative by enabling on demand, local, and potentially circular production of spare parts, but effective decision-making frameworks are still lacking.
This PhD focuses on the development of models and methods for sustainable spare parts management using additive manufacturing.
The research explores how to:
• Design supply chains that include AM-based remanufacturing facilities.
• Optimize spare parts inventories and ordering decisions.
• Decide what to do with incoming failed parts (e.g., repair, remanufacture, recycle).
