The complementary nature of VENDO.ERP guarantees continuous flow of information and access to current data related to warehouse stock levels, supplies, availability of staff, equipment, tools, planned inspections and many other elements of particular importance in complex production planning.
Functions and benefits
The key functionality is aggregation of information related to:
- accepted orders,
- production orders,
- availability of materials
- production capacity.
Quick and easy identification of values important from the point of view of the production process, such as:
- balancing production capacity,
- forecasting time demand for the use of individual machines,
- planning production costs.
Basing on historical and current values, stored and processed within the system, enables a plan to be developed which is not only complex, but also flexible in terms of all resources required for its execution.
The simulation stage is an initial planning stage, focused mainly on the load and use of resources. Its objective is to determine the execution deadline for the order and to specify elements making reaching the deadline possible. The simulation is performed on the basis of the product sheet and parameters contained therein, whereas the system automatically specifies default standards, subsequently replaced according to the technology used.
Time specified in the simulation and defined in the program is called a simulation bucket. A bucket may cover a single day, week or month. Our recommended mode of operation is based on weekly buckets.
A bucket-based simulation may be performed:
- forward – the chosen algorithm determines the closest possible order execution date, whereas the start date of the first operation is considered as the base value.
- backward – the objective is to determine the order start date, but the specified end date for the order is considered the initial value used to initialize the simulation.
The simulation provides us with a basis for the next stage, namely – operational planning (scheduling).
More about production scheduling …