APS
Advanced Planning
and Scheduling

The scheduling of finished capacity production for the manufacturing company


Finite capacity production scheduling is one of the most coveted goals for most planning managers. In fact, the possibility of using all production resources at full capacity in full compliance with the delivery times of the finished products represents one of the most "desired" to create efficiency and reduce the waste of material and resources.

STRENGTHS

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

What can you do with the Fluentis APS area?

DEMAND
PLANNING

Demand Planning in Fluentis is represented by the MPS definition procedure, i.e. the processing that allows the manager to identify the sources of demand, which precisely can be of three different types: Production demand induced by confirmed orders, production demand deriving from forecasts sales, rather than production demand deriving from minimum stocks of finished or semi-finished products.

MASTER
SCHEDULER

The Fluentis production scheduler can operate in both infinite and finite capacity. The ability to configure both scenarios therefore allows full flexibility for the production planner. In the context of finite capacity scheduling, the algorithms have the objective of leveling the work centers respecting delivery times according to the assigned priorities.

CRP

In Fluentis ERP, the Gantt together with the capacity histograms allow the operator the ability to easily analyze the impact of the work expected in the context of each work center. The procedure implements the management of simulations, i.e. the possibility for the user to interact in each individual process, moving the individual production phases forward or backward in time, obtaining a real-time calculation of the capabilities of each work center concerned. Each simulation can be imported into the real production context with the contextual analysis of the differences compared to the initial situation.

The production scheduling system from Industry 4.0 perspective

In recent years, the evolution of production-oriented and scheduling algorithms has become such as to allow the emergence and growth of highly advanced solutions; solutions capable of proposing feasibility plans derived from even particularly complex algorithms. These procedures are also increasingly accompanied by graphical interfaces featuring high ease of use.

Finite capacity production scheduling is one of the most coveted goals for most planning managers. In fact, the possibility of using all production resources at full capacity in full compliance with the delivery times of the finished products represents one of the most "desired" to create efficiency and reduce the waste of material and resources.

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 main purpose of the algorithms at the basis 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 produce and propose a truly effective and feasible production plan.

Manufacturing companies that set themselves 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 as much as possible production times
  • leveling and optimizing the load of the work centers
  • setting the appropriate priorities for production orders in order to respect the delivery times agreed with the customer

 

 

Area APS gestionale Fluentis

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