# 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://scholariq.org/papers/predicting-the-reverse-flow-of-spare-parts-in-a-complex-supply-chain/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adnane Lazrak,Bruno Castanier,David Lemoine,Hamza El Garrab,Robert Heidsieck |
| Citations | 2 |
| DOI | 10.1504/ijlsm.2021.10046661 |
| Fields | Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3135384399 |
| Type | article |
| Year | 2021 |

## Paper authors

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

## Paper primary topic

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

## Paper topics

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

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.