Capacitated disassembly lot-sizing under yield uncertainty
Résumé
Due to its crucial role in the recovery of materials and products, disassembly has gained
significant importance in recent years, with manufacturers increasingly dedicated to recycling
and remanufacturing their products in response to environmental and economic constraints.
In the disassembly environments, discarded products differ in terms of quality: sometimes
they are in good condition and relatively new, and at other times they are old and contain
defective components. The unknown quality of products leads to uncertainty in disassembly
yields, which are the quantities of components obtained in good condition from disassembly.
In this work, we consider the capacitated disassembly lot-sizing under yield uncertainty for
complex product structures. We solve the problem using a two-stage joint chance-constrained
stochastic program that takes into account all the possible yield scenarios.
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