DocumentCode :
2742281
Title :
A hybrid multi-criteria decision making model for ERP system selection
Author :
Razmi, Jafar ; Sangari, Mohamad Sadegh
Author_Institution :
Dept. of Ind. Eng., Univ. of Tehran, Tehran
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
489
Lastpage :
495
Abstract :
ERP system selection is one of the most important steps in an ERP implementation program and is critical to the system success. Due to inherent complexity of ERP systems, diversity of available alternatives in the market and limitation in resources selecting an appropriate ERP project is a risky, difficult and time-consuming task for the organizations. Although ERP system selection has been investigated in previous works vastly, the proposed models have some limitations and inadequacies. In this research, an in-depth study is implemented to identify and categorize ERP selection factors in four main groups. The degree to which the organizational requirements are satisfied by an ERP system is also embedded in the model and discussed as the fifth main decision factor. Then a comprehensive hybrid multi-criteria decision making model is developed in two stages using TOPSIS and PROMETHEE to evaluate and rank the alternatives. The proposed model is practical and quite simple in real world problems of selecting the most appropriate ERP system for the organizations.
Keywords :
decision making; enterprise resource planning; organisational aspects; ERP selection factors; ERP system selection; hybrid multicriteria decision making; organizational requirements; Companies; Costs; Decision making; Educational institutions; Enterprise resource planning; Finance; Industrial engineering; Information systems; Investments; Packaging; ERP system selection; PROMETHEE; TOPSIS; hybrid model; multi-criteria decision making; organizational requirements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4244-2899-1
Electronic_ISBN :
978-1-4244-2900-4
Type :
conf
DOI :
10.1109/ICIAFS.2008.4783990
Filename :
4783990
Link To Document :
بازگشت