An empirical study of demand forecasting of non-volatile memory for smart production of semiconductor manufacturing
Ying-Jen Chen and Chen-Fu Chien
| Year of publication: |
1-15 July 2018
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|---|---|
| Authors: | Chen, Ying-Jen ; Chien, Chen-Fu |
| Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 56.2018, 13 (1/15.7.), p. 4629-4643
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| Subject: | non-volatile memory | semiconductor manufacturing | multi-generation diffusion model | decision framework for demand forecasting | manufacturing intelligence | business analytics | Halbleiterindustrie | Semiconductor industry | Prognoseverfahren | Forecasting model | Industrie | Manufacturing industries | Halbleiter | Semiconductor | Nachfrage | Demand | Innovationsdiffusion | Innovation diffusion |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2017.1421783 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011924782