Abstract
ERP Enterprise Resource Planning systems are widely used technological tools that assume an important focus on operations and planning in different areas of organizations: such as finance, sales, suppliers, human resources, operations, logistics, marketing, and services among others, there are several types of ERPs, as well as several manufacturers and with different prices and with significant values for companies, that is why choosing an ERP is adecision that requires a thorough analysis. In addition, many factors influence the decision of which ERP to choose (economic, technological, etc.). This article 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 will acquire the software, bases this selection on its own imposed criteria and ERP alternatives based on information from some suppliers. To select the mostappropriate ERP, AHP was initially used. Then, through a FIS, the selected ERP is evaluated to find out if it is in accordance with the financial and operational performance of the business.
| Translated title of the contribution | Decision model based on a hierarchical analytical process and fuzzy inference systems for choosing an ERP |
|---|---|
| Original language | Portuguese |
| Pages (from-to) | 80–91 |
| Journal | Revista Campo da História |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2023 |
