Title: Textual meta-analysis of maintenance management's knowledge assets

Authors: Fazel Ansari; Patrick Uhr; Madjid Fathi

Addresses: Department of Electrical Engineering and Computer Science, Institute of Knowledge Based Systems and Knowledge Management (KBS & KM), University of Siegen, Hölderlinstrasse 3, D-57076 Siegen, Germany ' Department of Electrical Engineering and Computer Science, Institute of Knowledge Based Systems and Knowledge Management (KBS & KM), University of Siegen, Hölderlinstrasse 3, D-57076 Siegen, Germany ' Department of Electrical Engineering and Computer Science, Institute of Knowledge Based Systems and Knowledge Management (KBS & KM), University of Siegen, Hölderlinstrasse 3, D-57076 Siegen, Germany

Abstract: Maintenance management activities include identifying, creating and storing knowledge assets. The knowledge assets are either documented/codified or undocumented/non-codified. In order to utilise the accumulated knowledge assets in the operational, tactical and strategic layers, documented knowledge should be meta-analysed. Meta-analysis is to discover the strength of the relationship between certain variables by means of automatic or semi-automatic algorithms. Meta-analysis has three methods: (1) statistical; (2) mathematical; and (3) textual. In this paper, the textual meta-analysis of maintenance management's knowledge assets is examined. In particular, the objective is to develop a virtual application for finding the relationship between three classes of text entities such as machines, practitioners and maintenance operations by means of technical implementation of the concept for the imitation of the mental ability of word association (CIMAWA). In addition, the virtual application is designed to be integrated as an add-on in the framework of computerised maintenance management information system (CMMIS).

Keywords: text mining; textual meta-analysis; association measuring; CIMAWA; virtual applications; dashboard; knowledge assets; software; computerised maintenance management information systems; CMMIS; knowledge management; KM.

DOI: 10.1504/IJSEM.2014.059706

International Journal of Services, Economics and Management, 2014 Vol.6 No.1, pp.14 - 37

Received: 27 Jul 2012
Accepted: 11 Apr 2013
Published online: 28 Jun 2014 *

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