Tailoring FOS-ERP Packages
Autor: | Klaus Wölfel, Jean-Paul Smets |
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Rok vydání: | 2013 |
Předmět: | |
DOI: | 10.4018/978-1-4666-2455-9.ch102 |
Popis: | Free/Open Source software (FOSS) has made Enterprise Resource Planning (ERP) systems more accessible for Small and Medium Enterprises (SMEs) including overseas subsidiaries of large companies. However, the consulting required to configure an ERP to meet the specific needs of an organization remains a major financial and organizational burden for SMEs. Automatic ERP package configuration based on knowledge engineering, machine learning and data mining could be a solution to lessen the burden of the implementation process. This chapter presents two approaches to an automation of selected configuration options of the FOS-ERP package ERP5. These approaches are based on knowledge engineering with decision trees and machine learning with classifiers. The design of the ERP5 Artificial intelligence Toolkit (EAT) aims at the integration of these approaches into ERP5. The chapter also shows how FOS-ERP can boost Information System (IS) research. The investigation of the automation approaches was only possible because the free source code and technical documentation of ERP5 was accessible for TU Dresden researchers. |
Databáze: | OpenAIRE |
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