# A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comprehensive-review-of-big-data-analytics-throughout-product-lifecycle-to/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shan Ren,Yingfeng Zhang,Yang Liu,Tomohiko Sakao,Donald Huisingh,C.M.V.B. Almeida |
| Citations | 519 |
| DOI | 10.1016/j.jclepro.2018.11.025 |
| Fields | Business, Management and Accounting,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154546 |
| OpenAlex ID | https://openalex.org/W2899614238 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Yang Liu](https://scholariq.org/researchers/yang-liu-3/)

## Paper journal

- [Journal of Cleaner Production](https://scholariq.org/journals/journal-of-cleaner-production/)

## 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/)
- [Big Data and Business Intelligence](https://scholariq.org/topics/big-data-and-business-intelligence/)
- [Economic and Technological Systems Analysis](https://scholariq.org/topics/economic-and-technological-systems-analysis/)

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