Mario Vanhoucke: Data-Driven Project Management with Python, Gebunden
Data-Driven Project Management with Python
- Optimizing Schedules, Simulating Risk and Analyzing Project Performance through 10 Example Experiments
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- Verlag:
- Springer Nature Switzerland AG, 07/2026
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783032245557
- Artikelnummer:
- 12766265
- Umfang:
- 167 Seiten
- Erscheinungstermin:
- 12.7.2026
- Serie:
- Management for Professionals
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
This book explores how project scheduling, risk analysis and control can be understood, tested and taught through data-driven experimentation. It presents 10 Python-based example experiments that guide readers from fundamental scheduling techniques to advanced project control methods. All project data and code are provided, allowing readers to reproduce, modify, and extend every analysis.
The first part introduces the Critical Path Method as the foundation for structured scheduling and extends it to time--cost optimization and resource-constrained scheduling through heuristics and integer programming. The second part employs Monte Carlo simulation to capture schedule uncertainty and to measure activity sensitivity for both unconstrained and resource-limited projects. The third part focuses on project control, using Earned Value Management (EVM) to replicate forecasting accuracy studies from academic literature.
The book's distinctive contribution lies in linking theoretical scheduling principles with executable Python models, enabling a transparent exploration of how data can drive project decisions. It raises questions about the adequacy and complexity of project data, the measurement of uncertainty and the balance between simplicity and realism, offering both conceptual insight and a practical laboratory for data-driven project management. The book offers an educational yet forward-looking approach, combining clear explanations with ten reproducible Python-based experiments. Readers are encouraged not only to understand, but to experiment, i. e. test and extend the models themselves. By bridging theory and practice, it provides a hands-on and reproducible framework to explore how data shapes scheduling, risk analysis, and project control. The book is particularly suited for use in courses on project management, operations research or decision analytics, as well as for self-learners eager to build technical and analytical data-driven project management skills in a structured way.
Biografie
Prof Dr Mario Vanhoucke is associate professor at Ghent University and Vlerick Leuven Gent Management School (Belgium). He teaches Project Management, Business Statistics and Applied Operations Research. He is program director of the Bachelors and Masters in Business Engineering and the advanced Master in Operations and Technology Management and is a partner of OR-AS. His main research interest lies in simulation and optimization models in project scheduling and scheduling in the health care sector. This November he was awarded the 2008 International Project Management Association Research Award for the research project upon which this proposed book is based -.