# A framework for big data driven process analysis and optimization for additive manufacturing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-framework-for-big-data-driven-process-analysis-and-optimization-for-additive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Arfan Majeed,Jingxiang Lv,Tao Peng |
| Citations | 99 |
| DOI | 10.1108/rpj-04-2017-0075 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2896104992 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Tao Peng](https://scholariq.org/researchers/tao-peng/)

## Paper journal

- [Rapid Prototyping Journal](https://scholariq.org/journals/rapid-prototyping-journal/)

## Paper primary topic

- [Additive Manufacturing and 3D Printing Technologies](https://scholariq.org/topics/additive-manufacturing-and-3d-printing-technologies/)

## Paper topics

- [Additive Manufacturing and 3D Printing Technologies](https://scholariq.org/topics/additive-manufacturing-and-3d-printing-technologies/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)

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