ORASTalks

In this episode, we explore the challenge of scheduling projects when resources are limited. While traditional project schedules focus on activity timing and precedence relations, real projects must also account for scarce resources such as people, equipment, and budget.

This resource-constrained scheduling problem requires balancing project duration with resource availability. We discuss three common approaches to tackle this challenge: priority rule-based algorithms that generate schedules quickly, meta-heuristic methods that search for high-quality solutions, and exact optimization techniques that guarantee optimal results but may become computationally demanding for larger projects.

Beyond minimizing project duration, resource-constrained scheduling can support alternative objectives such as maximizing net present value or creating smoother resource usage profiles. These different goals often lead to different schedules, highlighting the importance of clearly defining project priorities.

Although finding the best schedule can be computationally challenging, resource-constrained scheduling illustrates how analytical methods help project managers make better decisions when resources are scarce.

For more insights:

• Short article: Scheduling Projects with Resources: Searching for the Best Possible Project Plan
• Full paper: Vanhoucke, M. (2013). Project Baseline Scheduling: An Overview of Past Experiences. Journal of Modern Project Management, 1(2), 18–27
• Website: www.or-as.be/orastalks

Category: Methods & Tools

Tags: Project scheduling · Resource constrains · Optimization · Priority rules · Meta-heuristics

AI Transparency Statement: This episode uses AI for narration. Learn more about how ORASTalks uses AI responsibly at ⁠⁠www.or-as.be/orastalks⁠⁠.

In this episode, we look back at the origins of the book “Measuring Time” in Projects and the journey that led to its publication and award presentation in Rome. What began as an attempt to better understand how project progress should be measured gradually evolved into a broader research agenda on project control.

The episode introduces the basic ideas behind Earned Value Management (EVM) and how it integrates scope, time, and cost to assess project performance. Over time, this work inspired several extensions that improve schedule measurement and forecasting, including techniques such as earned schedule and the p-factor approach.

While these methods will be explored in more detail in later episodes, this episode provides a historical reflection on how measuring time became a central theme in developing more data-driven approaches to project control.

For more insights:

• Short article: How to tell the project time: Fifteen years after “Measuring time”
• Book: Measuring Time: Improving Project Performance Using Earned Value Management (Springer)
• Website: www.or-as.be/orastalks

Category: Book Summary

Tags: Earned Value Management · Project control · Schedule performance · Time forecasting · Data-driven project management

AI Transparency Statement: This episode uses AI for narration. Learn more about how ORASTalks uses AI responsibly at ⁠www.or-as.be/orastalks⁠.

In this episode, we explore how uncertainty can be incorporated into project schedules using the Program Evaluation and Review Technique (PERT). Building on traditional planning methods, PERT extends the Critical Path Method (CPM) by replacing single-point duration estimates with three estimates: optimistic, most likely, and pessimistic.

This approach allows project managers to capture uncertainty in activity durations and translate it into probabilities of meeting project deadlines. By applying simple statistical reasoning, PERT provides insights into schedule risk and helps identify the activities that are most critical for timely project completion.

Although based on simplifying assumptions, PERT shows how analytical thinking improves project planning beyond intuition, enabling more realistic schedules and providing a structured basis for monitoring and control.

For more insights:

• Short article: Adding Uncertainty to the Project Plan.
• Book: Vanhoucke, M., 2018, The Data-Driven Project Manager: A Statistical Battle Against Project Obstacles, Apress.
• Website: www.or-as.be/orastalks

Category: Methods and Tools

Tags: Project planning · PERT · Critical Path Method · Schedule uncertainty · Project risk analysis

AI Transparency Statement: This episode uses AI for narration. Learn more about how ORASTalks uses AI responsibly at ⁠www.or-as.be/orastalks⁠.

In this episode, we explore how the importance of hard and soft skills changes across the project lifecycle, based on a classroom experiment with students.

Students worked on case studies to simulate planning, risk analysis, project progress and control, and delivery. The experiment shows that hard skills are critical during planning and control, while soft skills help teams collaborate throughout, and analytical skills remain important in every phase. Later phases require a broader variety of skills, highlighting the integration of knowledge.

Although this study is a classroom experiment, it shows that students not only learn project management, but also develop essential skills.

For more insights:

• Short article: ⁠⁠Essential Skills for Project Management⁠
• Full paper:⁠ Servranckx, T., & Vanhoucke, M. (2021). Essential skills for data-driven project management: A classroom teaching experiment⁠. Journal of Modern Project Management, 9(1), 123–139.
• Website: ⁠⁠www.or-as.be/orastalks

Category: Research Insights

Tags: Project management education · Skills development · Hard skills · Soft skills · Data-driven project management

AI Transparency Statement: This episode uses AI for narration. Learn more about how ORASTalks uses AI responsibly at www.or-as.be/orastalks.