Forecasting Risk Impact on ERP Maintenance with Augmented Fuzzy Cognitive Maps


Worldwide, firms have made great efforts to implement Enterprise Resource Planning (ERP) systems. Despite these efforts, ERP adoption success is not guaranteed. Successful adoption of an ERP system also depends on proper system maintenance. For this reason, companies should follow a maintenance strategy that drives the ERP system toward success. However, in general, ERP maintenance managers do not know what conditions they should target to successfully maintain their ERP systems. Furthermore, numerous risks threaten these projects, but they are normally dealt with intuitively. To date, there has been limited literature published regarding ERP maintenance risks or ERP maintenance success. To address this need, we have built a dynamic simulation tool that allows ERP managers to foresee the impact of risks on maintenance goals. This research would help professionals manage their ERP maintenance projects. Moreover, it covers a significant gap in the literature.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Multitask Learning Model for Traffic Flow and Speed Forecasting ABSTRACT: Accurate short-term traffic state forecasting is beneficial to Intelligent Transportation Systems (ITS) research and applications. This
PROJECT TITLE : A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks ABSTRACT: In deregulated energy markets, accurate electricity price forecasting (EPF)
PROJECT TITLE : Combining Modified Weibull Distribution Models for Power System Reliability Forecast ABSTRACT: In a deregulated context, electric utilities have been urged to use cost-effective long-term asset management measures
PROJECT TITLE : Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid - 2017 ABSTRACT: Electricity value forecasting is a vital part of sensible grid as a result of it makes good grid cost economical.
PROJECT TITLE : Online Multi-Task Learning Framework for Ensemble Forecasting - 2017 ABSTRACT: Ensemble forecasting may be a widely-used numerical prediction technique for modeling the evolution of nonlinear dynamic systems.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry