Name
Title | ||
|---|---|---|
Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods. |
Abstract | ||
|---|---|---|
The regeneration of complex capital goods is afflicted with a high degree of uncertainty. Neither the extent of the damage to the goods nor the resulting maintenance workload is known in advance, and that poses challenges for capacity planning. Data fusion in the form of Bayesian networks is used to prepare forecasts in order to estimate the workload in maintenance processes. The objective is to optimize the planability of the capacities required. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s11740-013-0444-8 | Production Engineering |
Keywords | Field | DocType |
Maintenance, Capacity planning, Data fusion, Bayesian networks | Workload,Transport engineering,Operations research,Manufacturing engineering,Sensor fusion,Capacity planning,Capital good,Bayesian network,Engineering | Journal |
Volume | Issue | ISSN |
7 | 2-3 | 1863-7353 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steffen C. Eickemeyer | 1 | 0 | 0.34 |
| Tim Borcherding | 2 | 0 | 0.34 |
| Sebastian Schäfer | 3 | 0 | 0.34 |
| Peter Nyhuis | 4 | 20 | 10.16 |