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http://dx.doi.org/10.7232/JKIIE.2013.39.1.001

An Information System Architecture for Extracting Key Performance Indicators from PDM Databases  

Do, Namchul (Dep. of Industrial and Systems Engineering, Gyeongsang National University, ERI)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.39, no.1, 2013 , pp. 1-9 More about this Journal
Abstract
The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.
Keywords
Multidimensional Data Model; On-Line Analytic Processing(OLAP); Product Data Management(PDM); Product Development Performance Evaluation; Key Performance Indicator(KPI);
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Times Cited By KSCI : 1  (Citation Analysis)
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