Condition-aware capacity planning for agile hybrid disassembly systems in remanufacturing

Remanufacturing of used products is essential in the circular economy but faces challenges like high variant diversity and varying product states, requiring flexible production resources. Agile hybrid disassembly systems, combining manual and automated resources, offer a solution. These systems need a planning methodology to reconfigure capacity and structure effectively. This work proposes a foresighted condition-aware capacity planning method, using a mixed-integer linear optimization problem to adjust system capacity while minimizing costs. A capability-based framework models the hybrid system, considering product condition deviations. The system, tested on data grounded in a real industrial scenario, shows the benefits of frequent reconfiguration based on condition-aware planning.