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APS – Advanced Planning
and Scheduling

Intelligent scheduling of finished capacity production

Finite capacity scheduling – using all production resources at full capacity and meeting all delivery times – drives efficiency and reduces material and resource waste. Understandably, it is one of the most coveted goals for planning managers. The sophisticated Fluentis APS module can help make this goal attainable.


  • Demand Planning
  • FCS Scheduling (finite capacity)
  • CRP

What can you do with Fluentis APS?


Demand Planning in Fluentis follows the MPS definition procedure, i.e. the processing that allows managers to identify the demand source:

  • Production demand induced by confirmed orders
  • Production demand deriving from forecasts sales
  • Production demand deriving from minimum stocks of finished or semi-finished products


The Production Master Scheduler can operate in both infinite and finite capacity. The ability to configure both scenarios allows full flexibility for the production planner. For finite capacity scheduling, the algorithms will level the work centers respective delivery times according to the assigned priorities.


In Fluentis ERP, operators can utilize Gantt charts integrated with capacity histograms for easily analyzing the impact of the work expected for each work center. Through simulations, they can interact with each individual process, moving the individual production phases forward or backward in time and obtaining real-time calculations of the capabilities of each work center. Each simulation can be imported into the real production environment, with an analysis of the discrepancies between simulated and initial/actual environment.

Production scheduling for Industry 4.0

In recent years, the evolution of production-oriented and scheduling algorithms has spawned highly advanced solutions; solutions capable of proposing feasibility plans derived from even more complex algorithms. These solutions are increasingly accompanied by graphical interfaces (GUIs) designed for ease of use.

As mentioned earlier, finite capacity production scheduling is one of the most coveted goals for most planning managers. The desire to manage the work centers by leveling the relative loads, the possibility of eliminating any peaks or inefficiencies and having a non-interruptible but linear production organization are in fact the primary purpose of the algorithms at the base of the finite capacity scheduler.

It is important to specify that in all production companies the manufacturing process is characterized by multiple “constraints” which the algorithms must absolutely take into account in order to generate a truly effective and feasible production plan.

Manufacturing companies with the goal of working at finite capacity almost always aim to achieve the following objectives:

  • Minimize the inventory of materials, as purchases should be organized in a “just in time” logic
  • Shorten production times as much as possible
  • Leveling and optimizing the load of the work centers
  • Setting the appropriate priorities for production orders , in order to meet the delivery times agreed with the customer.




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