# Applications of ML/AI for Decision-Intensive Tasks in Production Planning and Control

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/applications-of-ml-ai-for-decision-intensive-tasks-in-production-planning-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohaiad Elbasheer,Francesco Longo,Letizia Nicoletti,Antonio Padovano,Vittorio Solina,Marco Vetrano |
| Citations | 34 |
| DOI | 10.1016/j.procs.2022.01.391 |
| Fields | Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050922004008/pdf |
| OpenAlex ID | https://openalex.org/W4225871760 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Vittorio Solina](https://scholariq.org/researchers/vittorio-solina/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## Paper primary topic

- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)

## Paper topics

- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Flexible and Reconfigurable Manufacturing Systems](https://scholariq.org/topics/flexible-and-reconfigurable-manufacturing-systems/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)

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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.