DocumentCode :
581419
Title :
Drive system assistance tool for meta-analysis of dimensioning and maintenance indicators
Author :
Ansari, Fazel ; Dewa, R.A. ; Fathi, Madjid
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Siegen, Siegen, Germany
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
3113
Lastpage :
3119
Abstract :
This paper discusses design, development and prototyping of a drive designer assistance tool: MainDriveASSIST. The prototype consists of features that enable drive engineer in selection of drive system components based on meta-analysis of vendors´ offers as well as customer´s requirements. Meta-analysis is performed through by using benchmarking dashboard comprises technical and non-technical indicators for selection of drive system components. The benchmarking dashboard broadens and deepens drive engineer´s knowledge for optimal selection of drive components and improves decision-making activities. Technical indicators are mainly acquired from dimensioning of the drive system (drive system specifications) as well as the basic requirements e.g. for power consumption and operational availability (maintenance related factors). Non-technical indicators are mainly to consider business administration activities especially through indication of investment and preventive/corrective maintenance costs of drive systems which are directly affect customer´s/company´s business process. The prototype of MainDriveASSIST is designed and developed within an industrial oriented project at the institute of Knowledge Based Systems and Knowledge Management.
Keywords :
decision making; driver information systems; knowledge based systems; knowledge management; MainDriveASSIST; benchmarking dashboard; business administration activities; business process; decision-making activities; dimensioning indicators; drive designer assistance tool; drive engineer; drive system assistance tool; drive system components; knowledge based systems; knowledge management; maintenance indicators; meta-analysis; Benchmark testing; Robustness; Service robots; Topology; Torque; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6389401
Filename :
6389401
Link To Document :
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