Big data driven jobs remaining time prediction in discrete manufacturing system : a deep learning-based approach
Weiguang Fang, Yu Guo, Wenhe Liao, Karthik Ramani and Shaohua Huang
| Year of publication: |
2020
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|---|---|
| Authors: | Fang, Weiguang ; Guo, Yu ; Liao, Wenhe ; Ramani, Karthik ; Huang, Shaohua |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 58.2020, 9, p. 2751-2766
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| Subject: | big data | deep learning | job shop | jobs remaining time prediction | stacked sparse autoencoder | Big Data | Big data | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Algorithmus | Algorithm | Produktionssystem | Manufacturing system | Data Mining | Data mining |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2019.1602744 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012265268