The objectives of this research are: monitoring of project progress during execution, assessment project health on demand, to identify and make timely recommendations for corrective action in response to anticipated schedule delays. Implementation of this information in flexible process modeling approaches, like process configuration method enhances an alternative process planning. The paper proposes a solution in collaboration with cyber-physical system CPS based on RFID technology to minimize manual inputs and enhance data acquisition. Furthermore, it enables planers anticipating and identifying schedule delays and exceptions early or even before they happen. Analysis of the real-time data collected on site and actual vs. scheduled deviation will be transformed into a meaningful classification. This paper presents a comprehensive solution to integrate the outcomes of analysis real-time data into a knowledge base for updating the entire progress, handling exceptions and supporting efficient process alternative modeling.