Title
Selection of ERP based on analytical hierarchical process and fuzzy inference systems
Date Issued
20 October 2017
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This paper proposes a methodology based on Analytical Hierarchical Process (AHP) and Fuzzy Inference Systems (FIS), to obtain a better selection of Enterprise Resource Planning (ERP). The company, which are going to acquire the software, bases this selection on their own imposed criteria and the ERPs alternatives based on some supplier's information. To select the most appropriate ERP, at the beginning, AHP was used. Then, Through a FIS is evaluated the selected ERP to know if it comply with the business financial and operational performance. Finally, another FIS fuses these results in an only one, which is called 'acceptability level'. The proposed methodology try to quantify all the subjectivity that involve an ERP acquisition by a business.
Language
English
OCDE Knowledge area
Economía Sistemas de automatización, Sistemas de control Ciencias de la información
Scopus EID
2-s2.0-85040012743
Resource of which it is part
Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
ISBN of the container
9781509063628
Conference
Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
Sources of information: Directorio de Producción Científica Scopus