Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 15th Sept 2026, 10:39:11am EEST
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Daily Overview |
| Session | |
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STE-R PS2: Remote Session 2 Location: online Session Chair: Karsten Schmidtseifer, University of Wuppertal | |
| Presentation 5 | |
5:42pm - 6:00pm
Integrating Project Evaluation and ERP Simulators for Industrial Engineering Education Tecnologico de Monterrey, Mexico This paper presents the development and pedagogical integration of a Financial and Accounting Education Application (TECBOOKS) designed to bridge the theory-practice gap for industrial engineering students. Students in this field are required to master complex, interconnected concepts across finance, accounting, and production to evaluate real-world projects effectively. Traditional classroom methods often fail to provide the hands-on, interactive experience necessary to internalize the complexities of project evaluation. This critical skill determines the financial viability of investments. The TECBOOKS application is a modern, modular, single-page application built on React, specifically engineered to function as a powerful, visual, and accessible analytical tool. Its core innovation lies in its capacity for seamless integration with a separate production line/ERP simulator. This connectivity allows the application to automatically retrieve simulated, personalized production data generated by the student’s strategic decisions in the ERP environment. Once connected, the TECBOOKS dashboard processes this raw data to generate crucial analytical outputs in real-time. These outputs include dynamic financial statements (Income Statement, Balance Sheet), Key Performance Indicators (KPIs), and sophisticated project evaluation metrics such as Net Present Value (NPV) and Internal Rate of Return (IRR), utilizing various statistical forecasting methods. This integrated approach ensures that the calculation of robust metrics, such as NPV, is not merely a theoretical exercise but is grounded in the realistic operational complexities of a simulated production environment. The modular design also ensures that individual components—like the statistical forecasting or financial statement generators—can be used independently, making the app scalable and applicable to students in diverse academic fields. Although currently in the early stages of institutional adoption, this solution aims to significantly boost student engagement, financial literacy, and overall comprehension of real-world project complexities through a gamified and data-driven learning ecosystem. Future work will focus on empirical evaluation of student outcomes to quantify its effectiveness. | |
