Marco Wurster , Timon Feuerstein , Finn Bail , Marvin Carl May , Lihui Wang , Gisela Lanza
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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.
期刊介绍:
The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.