# Predicting the reverse flow of spare parts in a complex supply chain: contribution of hybrid machine learning methods in an industrial context

**Type:** Papers  
**Canonical URL:** https://picoportal.org/library/papers/predicting-the-reverse-flow-of-spare-parts-in-a-complex-supply-chain-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hamza El Garrab,David Lemoine,Adnane Lazrak,Robert Heidsieck,Bruno Castanier |
| Citations | 4 |
| DOI | 10.1504/ijlsm.2023.131425 |
| Fields | Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4380519929 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Robert Heidsieck](https://picoportal.org/library/researchers/robert-heidsieck/)

## Paper journal

- [International Journal of Logistics Systems and Management](https://picoportal.org/library/journals/international-journal-of-logistics-systems-and-management/)

## Paper primary topic

- [Forecasting Techniques and Applications](https://picoportal.org/library/topics/forecasting-techniques-and-applications/)

## Paper topics

- [Forecasting Techniques and Applications](https://picoportal.org/library/topics/forecasting-techniques-and-applications/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.