Once each foundation is built, it takes time for that foundation to be transported before a new foundation can be built at that workstation. ALICE is being used to test new constraints specific to each site – calculating the distance of movement for each foundation, and the speed of transportation.
“What separates ALICE from more traditional planning tools is that previously, we could only produce one or two time schedules,” explained Ahmed Rashid, head of planning at Implenia. “Now, we can give ALICE all the information we want and create maybe ten different time schedules and scenarios that we can modify in real time.”
Adrianus Pas, project director at Implenia, added: “ALICE allows us to efficiently study layout variations and optimize foundation build times and enhance certainty around project outcomes. ALICE’s AI insights support our decision-making process by providing clear and actionable data.”
The Results
At the initial testing phase, ALICE found that most sites could create a baseline level of foundations needed each year. Through the optioneering process, Implenia can test different scenarios to see where productivity gains could be made, adjusting various factors along the way.
During the current planning stages, ALICE is helping to prove the value of having optimized, data-backed schedules. Implenia now has the insight to be able to prove that they can meet the desired production targets in a range of possible locations.
Implenia can also go a step further by highlighting possible cost and time savings that others may not have considered, such as site configuration, transport method and timing of the transportation of materials between workstations.
Implenia is finding that the planning process is ten times faster than their traditional methods. And through optimization with ALICE, Implenia is also able to boost potential foundation production levels considerably.