Food production planning system (APS)

The planner compiles a food production schedule based on raw materials, line capacity, refrigeration, and cleaning time. When conditions change, the impact on customer orders can be compared.

The production sequence is prepared without the inclusion of specific cleaning transitions, raw material validity or expected quality solution. The line load seems to be met, but part of the quantity fails to be produced or passed on in time to the recipient.

How the solution works

  1. Confirmed orders are collected, statuses of work started, suitable raw materials and available capacity.
  2. The plan shall be drawn up in accordance with the duration of operations, intermediate quantities, restrictions on packaging and refrigeration, and approved rules for transition.
  3. In the event of a malfunction, several realistically executed sequencing and term options are compared.
  4. The planner approves the change and passes it on to execution, maintaining the version and the history of the assumptions.

Key challenges

  • Planning does not reflect actual production constraints

Solution capabilities

Verification of suitable materials and capacity

The plan uses not only the total balance, but at the right time suitable and usable raw material and packaging.

Production sequence and cleaning

The duration of the cross-product transition is included according to approved rules; optimization cannot eliminate mandatory cleaning or verification.

Limitations on intermediate stages

Mixing, processing, filling, packing and storage capacities are evaluated where they actually limit the process.

Disruption scenarios

The planner sees which orders will be affected by the containment, failure or priority change of the raw material.

Transmission of an approved timetable

Execution receives a clear version of the plan, and operations and actual deviations that have begun are returned to the next conversion.

Business context

Planning does not reflect actual production constraints
The production sequence is prepared without the inclusion of specific cleaning transitions, raw material validity or expected quality solution. The line load seems to be met, but part of the quantity fails to be produced or passed on in time to the recipient.
Production adjusts to real-life need for trade
The order for stock or fresh produce has a limited sales time. After evaluating the lines, cleanings, raw materials and cooling, the manufacturer can check the amount that will be able to deliver. The seller and the buyer combine the delivery schedule to be executed, reducing both the likelihood of defects and surpluses.

Core features

  • Verification of suitable materials and capacity
  • Production sequence and cleaning
  • Limitations on intermediate stages
  • Disruption scenarios
  • Transmission of an approved timetable

Key integrations

Planning the company's resource and material needs
Orders, needs, supply confirmations and product data confirmed.
Food and beverage manufacturing execution system (MES)
Operations have begun, actual progress and an approved schedule is transmitted.
Warehouse and Quality Processes
Proper batch quantity, validity and restriction of use.
Device Maintenance Process
A suspension is planned and the time for production returns approved.
Sources of Recipes and Approved Rules of Procedure
Sequence of operations, product restrictions and approved transition and cleaning procedures.

Potential impact (%)

The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.

Timetables for urgent rescheduling

6–25%Decreasing

This illustrative scenario assumes that 20-50% of waiting caused by missing information or unclear responsibility can be addressed. That share is assumed to fall by 30-50%. Company data is needed to verify both the addressable share and the resulting change.

Comparing active work of the planner for similar disorders, including matching the replacement with execution.

Part of orders late due to non-executable plan

5–25%Decreasing

This illustrative scenario assumes that 20-50% of missed actions can be identified through task and deadline tracking. That share is assumed to fall by 25-50%. Company data is needed to verify both the addressable share and the resulting change.

Due to the limitation known prior to the plan approval, the number of delayed orders is divided by all comparable orders for the period and multiplied by 100.

Conditional calculation scenarios. The assumptions have not been validated against client measurements.

When this solution is relevant

  • The plan is changed due to cleaning, release or the customer's expiration condition, which was known even before the sequence was made.
  • Increasing the load on the line results in a quantity that is not able to be released and delivered within the time appropriate for the customer.

Project scope and implementation

The project includes the development of a production schedule and its updating according to raw materials, validity, cleaning and line capabilities. The development of the planning module used is chosen when it can implement the necessary rules. For a wider scope, joint planning of several lines and delivery stages is assessed.

Further development options

  • Refrigerating or maturing capacity scenarios
  • Comparison of Planner's Correctional Prepositions with Fact

Frequently asked questions

Adapting the solution to your business