Information Fusion as a Means of Forecasting Expenditures for Regenerating Complex Investment Goods

Download statistics - Document (COUNTER):

Eickemeyer, S.C.; Borcherding, T.; Nyhuis, P.: Information Fusion as a means of Forecasting Expenditures for Regenerating Complex Investment Goods. In: International Journal of Mechanical and Mechatronics Engineering 6 (2012), S. 578-581. DOI: https://doi.org/10.5281/zenodo.1070079

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4182

Selected time period:

year: 
month: 

Sum total of downloads: 157




Thumbnail
Abstract: 
Planning capacities when regenerating complex investment goods involves particular challenges in that the planning is subject to a large degree of uncertainty regarding load information. Using information fusion – by applying Bayesian Networks – a method is being developed for forecasting the anticipated expenditures (human labor, tool and machinery utilization, time etc.) for regenerating a good. The generated forecasts then later serve as a tool for planning capacities and ensure a greater stability in the planning processes.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Maschinenbau

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 100 63.69%
2 image of flag of United States United States 15 9.55%
3 image of flag of China China 8 5.10%
4 image of flag of Czech Republic Czech Republic 4 2.55%
5 image of flag of Australia Australia 4 2.55%
6 image of flag of Taiwan Taiwan 3 1.91%
7 image of flag of Russian Federation Russian Federation 3 1.91%
8 image of flag of Malaysia Malaysia 3 1.91%
9 image of flag of Sweden Sweden 2 1.27%
10 image of flag of Norway Norway 2 1.27%
    other countries 13 8.28%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse