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Download statistics - Document (COUNTER):
Heuer, T.; Lucht, T.; Nyhuis, P.: Material Disposition and Scheduling in Regeneration Processes using Prognostic Data Mining. In: Procedia Manufacturing 43 (2020), S. 208-214. DOI: https://doi.org/10.1016/j.promfg.2020.02.138
Repository version
Selected time period:
Sum total of downloads: 30
| Abstract: | |
In the regeneration process of complex capital goods, the definite workload is uncertain until the goods are disassembled and inspected. Due to the uncertainty and long repair lead times, regeneration service providers have difficulties in achieving low regeneration times and meeting delivery dates. Delays in delivery are associated with contractual penalties and keeping a high stock level of spare parts coincides with a high capital tie-up. Therefore, this paper deals with the use of prognostic data mining for long-term material disposition and scheduling to accomplish a high delivery date reliability and low stock levels. | |
| License of this version: | CC BY-NC-ND 4.0 Unported |
| Document Type: | Article |
| Publishing status: | publishedVersion |
| Issue Date: | 2020 |
| Appears in Collections: | Fakultät für Maschinenbau |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 12 | 40.00% |
| 2 |  |
United States | 5 | 16.67% |
| 3 |  |
France | 5 | 16.67% |
| 4 |  |
Norway | 2 | 6.67% |
| 5 |  |
China | 2 | 6.67% |
| 6 |  |
Netherlands | 1 | 3.33% |
| 7 |  |
Israel | 1 | 3.33% |
| 8 |  |
Europe | 1 | 3.33% |
| 9 |  |
Canada | 1 | 3.33% |
Further download figures and rankings:
Hinweis
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