Project Parameter Estimation on the Basis of an Erp Database

• Authors: Marcin Relich
• Languages of publication: EN

Abstracts

EN

Nowadays, more and more enterprises are using Enterprise Resource Planning (EPR) systems that can also be used to plan and control the development of new products. In order to obtain a project schedule, certain parameters (e.g. duration) have to be specified in an ERP system. These parameters can be defined by the employees according to their knowledge, or can be estimated on the basis of data from previously completed projects. This paper investigates using an ERP database to identify those variables that have a significant influence on the duration of a project phase. In the paper, a model of knowledge discovery from an ERP database is proposed. The presented method contains four stages of the knowledge discovery process such as data selection, data transformation, data mining and interpretation of patterns in the context of new product development. Among data mining techniques, a fuzzy neural system is chosen to seek relationships on the basis of data from completed projects stored in an ERP system.

Keywords

EN

knowledge management; new product development; knowledge discovery in databases; data mining; ERP system

• Publisher: Sciendo
• Journal: Foundations of Management
• Year: 2013
• Volume: 5
• Issue: 2
• Pages: 49-58

Dates

published

2013-12-01

online

2014-08-15

Contributors

author

Marcin Relich

• Faculty of Economics and Management, University of Zielona Góra, Poland

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Identifiers

DOI

10.2478/fman-2014-0012