# Robert Heidsieck

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/robert-heidsieck/

## Facts

| Field | Value |
| --- | --- |
| Citations | 91 |
| Field | Sustainable Supply Chain Management |
| h-index | 4 |
| i10-index | 2 |
| Last Known Institution | General Electric (Spain) |
| OpenAlex ID | https://openalex.org/A5044812540 |
| ORCID iD | 0009-0006-0639-7581 |
| Works | 27 |

## Researcher papers

- [Mammographic imaging with a small format CCD‐based digital cassette: Physical characteristics of a clinical system](https://scholariq.org/papers/mammographic-imaging-with-a-small-format-ccd-based-digital-cassette-physical/)
- [Repairing smarter: Opportunistic maintenance for a closed-loop supply chain with spare parts dependency](https://scholariq.org/papers/repairing-smarter-opportunistic-maintenance-for-a-closed-loop-supply-chain-with/)
- [Towards Hybrid Machine Learning Models in Decision Support Systems for predicting the SpareParts Reverse Flow in a Complex Supply Chain](https://scholariq.org/papers/towards-hybrid-machine-learning-models-in-decision-support-systems-for/)
- [Predicting the reverse flow of spare parts in a complex supply chain: contribution of hybrid machine learning methods in an industrial context](https://scholariq.org/papers/predicting-the-reverse-flow-of-spare-parts-in-a-complex-supply-chain-2/)
- [A Deep-Learning-Based Framework to Predict the Reliability of Multicomponent Repairable Systems in a Closed-Loop Supply Chain](https://scholariq.org/papers/a-deep-learning-based-framework-to-predict-the-reliability-of-multicomponent/)
- [Integration approaches of forecasting methods selection with inventory management indicators in the case of spare parts supply chain](https://scholariq.org/papers/integration-approaches-of-forecasting-methods-selection-with-inventory/)
- [Characterization Of Veiling Glare In Angiographic Systems](https://scholariq.org/papers/characterization-of-veiling-glare-in-angiographic-systems/)
- [Predicting the reverse flow of spare parts in a complex supply chain: contribution of hybrid machine learning methods in an industrial context](https://scholariq.org/papers/predicting-the-reverse-flow-of-spare-parts-in-a-complex-supply-chain/)
- [Enhancing Circularity in Medical Device Supply Chains by Optimizing EoL Decisions Through Reinforcement Learning: A Multi-Objective Approach](https://scholariq.org/papers/enhancing-circularity-in-medical-device-supply-chains-by-optimizing-eol/)
- [Study of Error in a Method of Reconstructing the Beating Heart with Conventional CT Scanners](https://scholariq.org/papers/study-of-error-in-a-method-of-reconstructing-the-beating-heart-with-conventional/)

## Researcher topics

- [Sustainable Supply Chain Management](https://scholariq.org/topics/sustainable-supply-chain-management/)
- [Quality and Supply Management](https://scholariq.org/topics/quality-and-supply-management/)
- [Reliability and Maintenance Optimization](https://scholariq.org/topics/reliability-and-maintenance-optimization/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Advanced Statistical Process Monitoring](https://scholariq.org/topics/advanced-statistical-process-monitoring/)

## Researcher university

- [General Electric (Spain)](https://scholariq.org/institutions/general-electric-spain/)

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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.