The Challenge
The original project schedule developed by this leading renewable energy contractor using Oracle’s P6 software was not resource loaded. The contractor believed that resource-loading the schedule would cause significant delays.
The main challenges for the GC in this project were: avoiding potential schedule delays and optimizing workforce density to enhance the overall efficiency of the solar farm construction project.
The Solution
To tackle these challenges, the GC adopted a systematic approach that leveraged the generative construction scheduling capabilities of ALICE. The project team employed ALICE to simulate, analyze, and compare various options, including cost, time, and various methods of execution.
The team used ALICE to evaluate the original P6 schedule. Through thorough analysis and optioneering in ALICE, the team determined that implementing the original P6 schedule with resource loading would indeed lead to a 45-day delay. To counter this delay, ALICE’s professional services team proposed and assisted in developing a resource-loaded schedule, along with incorporating workforce density limits in its plan.
As part of the solution, specific constraints were implemented to optimize productivity and eliminate bottlenecks. These constraints dictated that at any given time, no more than eight crews would be working on the same block. This strategic approach not only enhanced efficiency but also ensured that the project stayed on track.
