• Allotment overrides: RapidResponse typically allocates supplies to demands based on demand due date, demand priority and whether fair share or equal share logic is required. Allotment Overrides allows planners to manually override those allocations in situations where other business rules require that available supply gets reserved for specific demands.

  • Alternate BOM: A part can support more than one bill of materials (BOM). This option supports functionality available in SAP, and allows RapidResponse to accurately simulate SAP results.

  • Attribute-based planning: Allows for supply of a particular part to be allotted to its demands based on particular attributes. Attributes are custom data model elements that can be used to identify characteristics of supplies or demands that have meaning in the supply process. For example, demands from particular customers might only be able to accept supply of the part if it was assembled at certain locations or contains components sourced from an approved list of suppliers.

    Available to Promise (ATP): Provides traditional Available-to-Promise calculation on forecast items. This analytic calculates unconsumed forecast for a given period, for a given part, and shows that quantity as available.

  • Bill of material explosion: Identifies all components at different levels used to make a part, and all assemblies at different levels where a part is used. Also identifies all end-items that use a particular component.

    Bill of material level part substitution: Within a given assembly’s BOM, allows a primary component to have one or similar components defined as substitutes from which existing supply can be used, or new supply planned, to satisfy dependent demands passed down from the assembly. This can help improve demand satisfaction on the assembly while reducing planned requirements on the primary component and burning off excess inventory on its substitutes. Can be extended to support substituting entire groupings of components within an assembly.

    Capable to Promise (CTP): Provides a realistic order completion date that considers component availability and capacity throughout the supply chain.

  • Capacity analysis: Mimics traditional ERP capacity resource planning (CRP) and helps identify work centers that are over or under utilized, manage resource loading, and balance demand with the most efficient resource utilization over a period of time.

  • Co-product and by-product planning: Plans coincident co-product or by-product supply associated with planned orders of primary parts. Especially useful for environments where there is significant variability in the performance or physical characteristics of the output of a single manufacturing process which is often the case in the semi-conductor industry.

  • Constraint manager: Allows users to easily define rate-based capacity constraints of various types (for example, production line and supply on allocation) in order to produce more realistic and achievable manufacturing dates. For parts with multiple sources, Constraint Manager can optimize source selection based on cost, priority, and allocation rules. This powerful analytic provides realistic results by simulating and evaluating the impact of constraints on operating plans.

  • Cumulative lead time: Analyzes the full bill of material to calculate the cumulative lead time required to build the current part.

  • Engineering change: Helps you analyze engineering changes to determine the best date at which to introduce an engineering change. Choosing the right date can lower the cost of implementing an engineering change; it can help you reduce excess or obsolete inventory, and ensure customer satisfaction by eliminating late orders.

    Feature bill of materials: Supports configurable end-item assemblies which might require, or not require, specific components or groups of components based on the group of features selected on a given demand. This allows a single assembly to be used to represent different configurations or models of the same base part.

    Financial analysis: Allows for more informed business decisions relating to the cost of products sold. There are two types of financial planning calculations: Projected Cost of Goods Sold (COGS) and Standard Cost Roll-Up. Projected COGS calculations determine the anticipated manufacturing cost of a group of orders considering things such as actual cost from purchase orders, source dependent manufacturing costs. Standard Cost Roll-Up provides the ability to project the standard cost of an assembly or end item for any future date, considering things such as part source changes, bill structure changes and component part cost changes.

Forecast consumption: Takes various parameters to determine how forecast gets consumed by customer orders, and produces a time phased unconsumed forecast table. RapidResponse allows configuration of forecast consumption options enabling you to align to your host system.

  • Full-level pegging: Identifies independent demands associated with any supply order for any part, allowing users to determine which customer orders might be impacted by changes in supply availability.

Global part substitution: Allows for a primary part to have one or more similar parts defined as substitutes, from which existing supply can be used, or new supply planned, to satisfy demands for the primary part. This can help improve demand satisfaction on the primary part while also reducing the need for new planned orders and burning off excess inventory on the substitute parts. Can be extended to support different part substitutions on a customer by customer basis.

Incremental availability: Determines the best available date for a partial shipment. Allows order splitting based on the availability of component materials (previously order splitting was only allowed based upon constraint availability). This makes it possible to see the different dates at which parts of a supply could become available, and in particular can be used to provide better information on when portions of a late customer order can be satisfied.

  • Interchangeable parts: Parts can be used interchangeably. This allows you to define groups of parts with similar technical properties, and to satisfy demands with any part in the interchangeable group. Each group of interchangeable parts consists of a primary part, which is used for all planned orders and provides the control settings for the group, and alternate parts, which can be used in place of either the primary part or other alternate parts in netting and CTP calculations.

  • Inventory pooling: Enables effective management of different pools of inventory, while considering strict customer or contract-related commitments and guidelines. For example, it can be used to prevent intermingling inventories for the same parts that are associated with different customers, contracts, or projects.

  • Inventory transfers: Supports transferring nettable on-hand inventory from one site to another. This includes support for modeling the shipping lead time and cost associated with an inventory transfer and, depending on the control settings used, RapidResponse analytics will decrease the on-hand quantity at the site supplying the transfer and create a new supply at the destination site.

  • Kanban support in netting and capable to promise calculations: An option allows for Kanban parameters to be respected in netting and capable-to-promise calculations. This ensures that planned orders for a part are created to match the current approved bin size, and also that the total net supply does not exceed the product of the current approved bin size and current approved bin quantity.

  • Material expiry: Supply-demand balancing considers expiry dates of supplies and minimum shelf life requirements of demands. This logic is especially relevant in the pharmaceutical industry.

  • Model-unit effectivity: Mimics typical ERP model and unit effectivity logic. With Model-Unit Effectivity enabled, RapidResponse respects model and unit effectivity during netting. The MUE analytic is typically used in an environment where customer demand can change quickly, and products can easily be reconfigured. Model and unit effectivity can be used individually, or together. The model effectivity logic is used in situations where several variants of a common part are made. The unit effectivity logic is used to improve service to customers with highly configurable end units, such as those in the aerospace and defense industries.

  • MRP (netting and explosion): Emulates those found in common MRP and ERP systems, including the calculation of a part's netting, explosion, and phantom processing.

  • Multi-echelon inventory optimization (safety stock calculation): Generates safety stock recommendations simultaneously across a network of related parts under one or more customer facing end-items, based on historical demand variability. The recommendations are meant to achieve specified service levels and service times for the end items, while also minimizing the overall inventory holding cost across all parts in the network.

  • Multi-level search: Multi-level search logic is useful for parts where better part sourcing or substitution decisions could be made if knowledge of child component materials and constraints were known, as well as for parts where better supply allotment decisions could be made if knowledge of sibling component allocations were known. These decisions might then typically be reflected in improvements in on time demand availability.

  • Multi-site: Supports analytic calculations across multiple sites in a company. Allows for inter-site planning and analysis in an integrated environment and the transfer of supply and demand data across multiple site types, such as plants, distribution centers, and warehouses.

  • Multi-sourcing: When replenishing a part, allows for consideration of multiple sources of supply each with potentially different planning characteristics. Parameters such as priority and target percentage can be used to control the distribution supply allotments (for example, they might reflect contractual requirements with suppliers).

    Priority: Allows different levels of priority or importance to be assigned to customer orders. When there is insufficient supply to satisfy all demands on time, this ensures that higher priority orders receive scarce supplies before lower priority orders (for example, priority might be given to high-value customer orders). Can also be used to define priority amongst supplies in environments with resource or material constraints.

  • Ship sets and whole order availability analysis: Independent demands from a given demand order that ship together is identified as a ship set. This enables availability analysis at the whole order level.

  • Single echelon inventory planning (safety stock calculation): Generates safety stock recommendations for a single part and site based on historical demand variability and, optionally, historical supply lead time variability. These recommendations are intended to achieve a specified service level for the part.

  • Supply allocation: Order (demand) priorities can be used to specify how supplies are allocated to demands in a period (i.e. higher-priority demands are allocated supplies before lower-priority demands) through all levels of the bill of material and extended supply chain. Supplies can be allocated on a fair share or equal share basis. This allows you to ensure some on time supply is allocated to every demand in a period, either with more supply allocated to larger demands (fair share) or the same amount allocated to every demand (equal share). Manual supply allocations can be made to reserve limited supply between demand and supply sites (demand sites are typically distribution centers). These manual allocations may, optionally, be processed by analytic calculations.

  • Time-phased pricing support: Supports time-phased pricing on demand orders (by customer and part number).