This article presents the foundations and core concepts of the algorithms of PlanningForce and unveils (a little bit) what make them so powerful and uniques.
Algorithms are becoming more and more preponderant in management. It is therefore crucial to avoid missteps and to be well guided in the forest of management algorithms.
This article gives the guiding structure for the development of a planning that best corresponds to the reality of the company through the use of artificial intelligence.
In this article, Professor Libert explores the relationships between the different levels of planning in light of intelligent decision-making processes.
This article links decision intelligence and AI to create a framework in which companies will make future decisions through increasingly intelligent planning processes.
This article sheds light on what needs to be taken into account when trying to optimize planning and scheduling with artificial intelligence.
In this article, discover how the use of different types of coefficients can play an important role when planning and scheduling projects, tasks and resources.
This article details how simulations based on the description of "what if" scenarios first require the implementation of a coherent and efficient data system.
The criteria for planning decisions can be numerous. A good solution will then allow the selection of those that best meet the needs of a specific decision-maker.
In this article, Professor Libert examines the importance of benefiting from a multi-criteria decision process supported by a set of relevant Key Performance Indicators (KPIs).