Planning for spare parts procurement under lack of information


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Turki, E., Jouini, O., Jemai, Z. et Heidseick, R. (2023) Planning for spare parts procurement under lack of information. Dans CIGI Qualita MOSIM 2023, Trois-Rivières, Québec, Canada DOI 10.60662/0V8M-E504.

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Spare parts management continues to receive increasing interest in academic and industrial circles. Companies must place the appropriate strategies to insure a sustainable spare parts management system until the end of life (EOL). In addition to spare parts production and replacing parts under warranty, they can consider buying their used products to extract components, repairing defected items, or placing a last time buy (LTB). These options are usually considered at the products EOL. The needed data to take the decisions at the right time are usually lacking. We provide a decision support system (DSS) for spare parts procurement planning that considers these options as soon as possible in the spare part life cycle. We use recursive feature elimination (RFE) to find the most impacting features on the considered supply options availability and classify them using Hierarchical agglomerative clustering to impute missing data. Then, we calculate the optimal solution for the spare parts procurement planning until EOL. A numerical experiment is applied on a spare part from General Electric Healthcare (GEHC). We also consider a LTB in case of a programmed obsolescence. We show that considering these options can decrease the total cost by at least 9%.

Type de document: Document issu d'une conférence ou d'un atelier (NON SPÉCIFIÉ)
Mots-clés libres: Decision support system Spare parts procurement Reuse Repair LTB Spare parts clustering Data imputation
Date de dépôt: 17 août 2023 18:13
Dernière modification: 01 sept. 2023 19:00

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