All the schedule you need.
Benefit from several genetic algorithms and meta-heuristics to optimise your resource constrained schedule.
We optimise your Microsoft Project Schedule using Oritames Advanced Planning and Scheduling (APS) system’s intelligent sequencing, meta-heuristic searches, genetic algorithms and machine learning to create schedules that are up to 30% more efficient than Microsoft Project. Whether you have an individual schedule with multiple resources or a master schedule with a shared resource pool, benefit from multi-objective and multi-criteria resource-constrained schedule optimisation including ‘what-if’ scenario analysis.
While the Critical Path Method (CPM) has improved project delivery success by avoiding precedence violations, this method unfortunately assumes unlimited resources. Since every organisation and project type experiences resource conflicts then project scheduling must solve resource overallocation problem.
Microsoft Project’s Resource Levelling function resolves resource constraints by delaying or splitting activities, however, its proprietary 'single-pass' heuristic results in duration's that are too long. This is made worse when a Master Schedule is setup with individual projects that share a common resource pool.
Using the Oritames Advanced Planning and Scheduling (APS) system, we optimise your schedule using intelligent sequencing, meta-heuristic searches, genetic algorithms and machine learning to create schedules that are up to 30% more efficient than Microsoft Project.