Abstract
In this paper, an approach is presented for short-term dismantling planning, including process-induced uncertainty modelled with fuzzy techniques. Weak data resulting from uncertain dismantling time parameters are modelled as fuzzy sets and integrated into a scheduling model that allows the derivation of optimal dismantling procedures. A case study from electronic scrap recycling shows the application of the approach.
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