Key features

Browse the documentation by functional areas, and dig into the topics you are interested in.

• Demand forecasting

• Production planning & scheduling

• Capacity modeling

• Routing and bill of materials

• User interface

• integration

• Odoo integration

• deployment

• technology

• pricing

Demand forecasting

Feature	Description	Read more
Statistical forecast	The forecasting algorithm implements forecast methods for: Constant demand (single exponential smoothing) Trending demand (double exponential smoothing) Seasonal demand (Holt-Winters additive method) Intermittent demand (Croston method) Moving average. The system automatically selects and tunes the best method that gives the lowest forecast error.	Doc Forecast report Example Forecast methods Example Middle-out forecasting
Outlier detection and correction	Automatic detect and to exceptionally low or high demands: The algorithm also implements a filter to reduce the impact of outliers on the generated statistical forecast (net forecast).
Multi-dimensional and hierarchical review	Review forecast and demand history at any level of item, location, customer, and time hierarchies.	Doc Forecast editor
Automatic disaggregation of edits	Enter values at higher levels of the item, location, customer, and time hierarchies. The values are automatically distributed to lower levels.	Doc Forecast editor
Forecast consumption	Sales orders consume from the gross forecast. The sales orders and the remaining net forecast make up a complete and consistent demand for the complete planning horizon.	Example Forecast netting

Production planning & scheduling

Odoo integration

Feature	Description	Read more
Maintain all data in odoo	All master data and transactions are managed by Odoo. The ForecastEdge connector is an odoo addon that synchronizes all planning to ForecastEdge.	Doc Overview
Publish manufacturing orders and purchase orders	Publish planning results back to odoo. With a simple click the planners can create manufacturing orders and purchase orders in odoo.	Doc Overview
Integrated user interface	The ForecastEdge user interface is integrated in odoo. Users log in odoo and can navigate from odoo to all ForecastEdge screens.

Capacity modeling

Feature	Description	Read more
Resource types	Different types of capacity constraints can be modeled: capacity limit expressed as the number of simultaneous tasks available capacity expressed as quantity per time bucket available capacity expressed as hours per time bucket unconstrained infinite-capacity resources or unconstrained)	Doc Resources Example Resource type
Working hours and vacations	Define calendars based on working hours, shifts, factory shutdowns, holiday periods, etc.	Example Working hours
Resource pools	Group identical/similar resources (machines or operators) in an aggegrated pool of resources.	Example Alternate resources
Resource skills	Assign skills to machines and operators and set them as necessary to perform specific operations. As a result, only a subset of the available resources will be qualified to do the operation.	Example Resource skills Doc Skills Doc Resource skills
Alternate resources	The planning and scheduling algorithm can choose among alternative resources from a pool. The selection can be priority-based or cost-based.	Example Alternate resources
Setup matrix	Include changovers in your planning process. Sequence-dependent changeover time corresponds to cleaning, configuration, or tool changing time that is required when switching between different resources (machines or operators) during the production process.	Doc Setup matrices

Routing and bill of materials

Feature	Description	Read more
Operation types	Operations of different types can be modeled: operations with a fixed duration, regardless of the quantity. operations with a variable duration, proportional to the quantity. routing operations that represent a sequence of operations. alternate operations that represent a choice among alternatives. split operations that proportionally distribute across alternatives.	Doc Operations Example Operation Type
Alternate operations	Products can be manufactured in different ways: multiple routings to produce the same item different versions of the bill of material make-or-buy: choose whether to produce in-house or buy from a supplier make-or-outsource: choose whether to produce in-house or to outsource an operation to a subcontractor. ForecastEdge can plan these and automatically make a smart selection between the alternatives. The selection can be priority-based or cost-based. Alternates can be date-effective and quantity restrictions.	Example Alternate operations
Alternate materials	You can plan different versions of a bill of materials and include alternate materials in a same bill of material.	Example Alternate materials Doc Operation materials
Date effective bill of materials and operations	ForecastEdge can suggest different versions of the bill of material with valid start and end dates.	Doc Operation materials
Co-products	Operations can produce multiple items. Examples: a sorting operation that produces items of different quantities or sizes an operation that produces a by-product in addition to the intended item.
Minimum, maximum, and multiple operation size	Some operations can only be scheduled within certain quantity constraints. This applies to purchase orders, distribution orders and manufacturing orders.	Doc Operations
Post-operation delay	The plan can include delays between operations. These add buffer time and robustness in the schedule to account for unexpected events. The post-operation delay is a soft constraint, which means we can generate plans with a shorter delay if that is required to deliver a customer order on time.	Example Post-operation safety time
Operation dependencies	Operations are chained together through bill of materials (typical for most manufacturing environments) or through operation dependencies (typical for project-oriented manufacturing environments).	Example Operation Dependencies

User interface