Presentations

As a project progresses throughout its lifecycle, it is important for the project team to learn from prior completed activities in the system. This can be used to adjust the remaining contingency for the project. In this paper, this situation is modelled using Erlang Distribution. Using Bayes’ Law, the associated cost for the remaining work packages is adjusted a ...

To meet the demand for infrastructure created by digital transformation, energy transition, and the need for commercial and residential space, owners and their contractors continue to move work offsite in an attempt to reduce the duration of site construction by increasing the amount of parallel offsite work. At the same time, from hospital modules to small modul ...

To deliver projects predictably, organizations rely on the use of schedules and various techniques to create and visualize them, including Critical Path Method (CPM), Gantt charts, and physical/virtual “stickie note” plans to name a few. Schedules may be created either by highly skilled schedulers or through collaboration with input from various project participa ...

The adoption of offsite construction methods presents a forward-thinking solution to critical challenges such as stagnant productivity rates, widespread housing shortages, skilled labor shortages, and increasing carbon emissions. However, moving the production location from onsite to offsite makes management a more complex task, resulting in offsite construction ...

Capital project owners and service providers may be blind to the fact that working with excessive amounts of inventory contributes to longer schedules, cost overruns and impact to cash flow, which negatively affects return on investment. On the other hand, not enough inventory and the project will not achieve the required throughput while also compromising cost a ...

Opening remarks as participants gather at the 10th Symposium to shape the construction industry’s future.

This presentation focuses on advancing project predictability in construction through production control, demonstrating how operational science effectively manages project variability.