Production Planning

The Production Job Order Generation allows the creation of job orders by determining the demand size, which comes from customer orders, sales forecasts, and stock shortages. The created production job orders can be for single or multiple products and define the set of items to be produced, enabling the planning manager to organize the production schedule.

Production job orders are the main document in the production schedule. They can identify a single product or a group of products logically aggregated for organizational or logistical reasons. These job orders are divided into three categories based on the type of supply for the requested item (Purchase, Subcontracting, Production), each of which follows a dedicated flow, seamlessly integrating with other modules of Fluentis ERP.

This represents the Master Scheduling algorithm, which is the production scheduling process that focuses on selected job orders and analyzes their “production feasibility” based on their structural composition.

This type of scheduling, which can be executed using “earliest” or “latest” analysis logic, allows for the verification of the need for additional production capacity. It highlights over-allocation of critical work centers, enabling the operator to decide whether to increase internal capacity, purchase external capacity, or shift workloads over time, potentially accepting delivery delays.

Finite capacity production scheduling helps determine how much work can be accomplished within a defined period, considering the limitations of certain resources. The ultimate goal is to ensure maximum efficiency across the entire internal production line, optimizing time and reducing costs for work centers.

With this scheduling method, it is possible to create optimal processing sequences for each work center, achieving maximum utilization. Through quick and easy parameterization, it is possible to:

• Assign an execution priority to job orders, considering delivery dates, critical customers, order deadlines, and other parameters.
• Consider or disregard the availability of necessary materials for the production phases.
• Schedule within a predefined time frame.

Additionally, for each work center, it is possible to:

• Adjust capacity by directly modifying the daily availability in the calendar.
• Define efficiency and maximum daily utilization percentages.
• Operate at infinite capacity.

As the acronym “Manufacturing Resource Planning” suggests, this process allows users to analyze the correct availability of materials and production resources based on the production plan. Through this process, the operator can receive a series of recommendations for advancing material supplies, adjusting required quantities, or canceling unnecessary item orders, making the management and control of operations as smooth as possible.

MRP generates a production plan by taking into account various production constraints, available raw materials, and semi-finished goods, as well as those on order. Thanks to this process, the operator can analyze the production coverage for each active job order, managing and coordinating all processes related to procurement, production, and delivery of the finished product.

The core principle of the material requirements planning system is optimizing inventory based on business needs, leading to lower stock levels and increased efficiency. Essentially, using the algorithms in this function, Fluentis MRP can track the commitment of each material in stock and its availability on a given date.

Fluentis MRP can operate in an informational or actionable context, functioning either partially on selected job orders or globally across all job orders in production.

The result of the planning and MRP processes will lead to the creation of Planned Production Orders, Work Orders, and Purchase Orders. These documents contain all the necessary information for procurement in terms of materials and processes, and they can be modified as needed.

Releasing these documents will generate Production Orders, Work Orders, and Purchase Requests, respectively.