Optimising remanufacturing decision-making using the bees algorithm in product digital twins.
Sci Rep
; 13(1): 701, 2023 01 13.
Article
em En
| MEDLINE
| ID: mdl-36639730
ABSTRACT
Remanufacturing is widely recognised as a key contributor to the circular economy (CE) as it extends the in-use life of products, but its synergy with Industry 4.0 (I4.0) has received little attention when compared to manufacturing. An agglomeration of I4.0 technologies and methodologies is reflected in the emerging digital twin (DT) concept, which has been identified as a life-extending enabler. This article captures the design and demonstration of a DT model that optimises remanufacturing planning using data from different instances in a product's life cycle. The model uses a neural network for remaining useful life predictions and the Bees Algorithm for decision making within a DT. The model is validated using a real case study. The findings support the idea that intelligent tools within a DT can enhance decision-making if they have visibility and access to the product's current status and reliable remanufacturing process information.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Comércio
/
Indústrias
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article