Extensible Portfolio of Forecasting Methods for ERP Systems: Integration Approach
Author(s) -
Jānis Pekša
Publication year - 2018
Publication title -
information technology and management science
Language(s) - English
Resource type - Journals
eISSN - 2255-9094
pISSN - 2255-9086
DOI - 10.7250/itms-2018-0010
Subject(s) - enterprise resource planning , computer science , modular design , portfolio , process management , system integration , extensibility , process (computing) , systems engineering , business process , enterprise application integration , industrial engineering , software engineering , operations research , management science , knowledge management , engineering , work in process , operations management , business , database , enterprise architecture , enterprise systems engineering , architecture , art , finance , visual arts , operating system
Enterprise resource planning (ERP) systems are large, modular enterprise applications designed for most of the company’s business processes. They include a range of different forecasting methods. The paper analyses the existing forecasting methods in ERP systems and provides a comparison of forecasting methods in ERP systems. It considers the problem of prediction integration in ERP systems and describes the general process by a conceptual model based on academic literature from forecasting with ERP systems. The study provides an integration approach, which is the most suitable one for providing forecasting functions in ERP systems.
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