Comparing Industrial Practice and Rigorous Approach for Effective Enterprise Resource Planning

The current commercial packages are usually characterized by complex architectures and articulated information technology systems that, unfortunately, do not correspond to an adequate detail level in the process modelling. It inevitably leads to inaccurate reconciled values and bad key-performance indicator estimations. These wrong evaluations might have relevant repercussions on the decision-making process, leading to an incorrect real-time performance monitoring and an ineffective enterprise resource planning. The present manuscript specifically deals with data reconciliation and performance monitoring issues, with the twofold objective to develop robust and model-based tools in supporting the current industrial practices and applications. Numerical methods, mathematical models, and shells for file transfer have been developed. Lacks of current industrial practice in the achievement of effective enterprise resource planning are highlighted and discussed.