Polski (PL) 
English (United Kingdom) Strategy Summary (TL;DR)
Static Bill of Materials structures are destroying your ERP database performance. Trying to manage thousands of product variations with discrete part numbers is a failed strategy. This article solves the ERP data explosion problem by providing a strict blueprint for implementing Configure to Order (CTO) in IFS Cloud. You will learn how to shift from static data entry to dynamic rule engines. We cover the transition of configuration characteristics, part catalog integration, routing logic, and the mandatory use of Dynamic Order Processing for multi-level assemblies. Stop crippling your engineering team with administrative data entry and start building automated manufacturing logic.
The Architectural Failure of Static Manufacturing
Manufacturing custom products using static Bill of Materials (BOM) records is technological self-sabotage. If your sales team offers a product in ten colors, five sizes, and four voltage options, creating two hundred discrete part numbers is a massive waste of resources. Every time a base component changes, your engineering team must update two hundred individual structures. This approach guarantees data errors. It guarantees production delays. It guarantees a bloated database.
```Configure to Order in IFS Cloud is not a feature. It is a fundamental shift in how your organization defines a product. You stop defining what a product is, and you start defining the rules of how a product can be built.
Transitioning to IFS Cloud CTO forces a hard break from legacy habits. The transition is painful. Your engineering and sales teams must agree on a strict mathematical logic governing product variations. If they fail to define these rules, the system will allow sales to sell configurations that physics cannot build. This guide outlines the exact mechanisms you must build to enforce this logic.
```Defining Characteristics and Configuration Families
The foundation of any CTO implementation is the characteristic. Characteristics are the variables of your product. You do not start by creating a part. You start by mapping the DNA of your manufacturing capabilities.
Structuring Characteristics
In IFS Cloud, navigate to the Configuration Characteristics page. You must define whether a variable is discrete or continuous. A discrete characteristic has a strict list of allowed values. For example, a pump motor might have discrete voltage options of 110V, 220V, and 480V. A continuous characteristic allows free text or numerical input within a range, such as a custom pipe length between 10 and 500 centimeters. Always default to discrete characteristics whenever possible. Continuous characteristics introduce severe complexities into pricing rules and manufacturing routing conditions.
Alpha vs. Numeric Data Types
Setting the correct data type is a hard requirement. If a characteristic determines a physical dimension used in a manufacturing formula, it must be set to Numeric. Setting it to Alpha will break any downstream mathematical calculation in your routing rules. Do not take shortcuts here.
The Configuration Family
Characteristics do not attach directly to parts. They attach to a Configuration Family. The family acts as a master template. If you manufacture industrial chillers, you create a "Chiller" family. You then bind all valid characteristics (Cooling Capacity, Refrigerant Type, Enclosure Material) to this family. This guarantees that all parts assigned to the Chiller family inherit the exact same architectural rules.
Executing the Part Catalog Integration
Assigning a part to a Configuration Family changes its behavior across the entire IFS Cloud application. This is done within the Part Catalog. You must select the specific part record and enable the "Configurable" flag. Once this flag is saved, the action is irreversible for any part that has existing transactional history.
```The Impact on Inventory
A configurable part does not exist in inventory as a generic item. The system tracks it via a Configuration ID. When a user creates a customer order line for a configurable part, IFS Cloud forces them through the configuration UI. Once the user selects the specific values for each characteristic, the system generates a unique Configuration ID. The part number remains the same, but the Configuration ID makes the item unique in the warehouse. If a customer orders the exact same combination of features six months later, IFS Cloud is smart enough to find and reuse the existing Configuration ID. This prevents database bloat while maintaining strict tracking.
```Mastering the Configuration Rules Engine
Having characteristics is useless without rules. The Configuration Rules engine dictates what options are valid together. This is where your engineering constraints become software constraints.
```Combination Tables vs. Formulas
You have two primary ways to restrict selections. The first is writing action rules with nested logic. The second is using Combination Tables. Stop using complex action rules for simple matrix validations. If selecting a 50HP motor means you can only select a Heavy Duty chassis or an Extreme Duty chassis, put that in a Combination Table. The IFS rules engine processes table lookups exponentially faster than evaluating massive chains of conditional text strings. Tables are also readable by business users. Formulas are only readable by developers.
Action Rules and Check Rules
You must use Action Rules to drive automated selections. If a customer selects a specific high-end package, an Action Rule should automatically set the included premium features to "Yes" and lock the fields. This speeds up order entry. Check Rules exist to throw hard errors. If a user manages to bypass a combination, a Check Rule fires upon saving the configuration, halting the process and displaying a custom error message. Write your error messages clearly. "Invalid Combo" helps no one. Write "The 480V motor requires a 3-phase electrical panel."
```Mapping Logic to Structure and Routing
A configured sales order is worthless if the factory does not know how to build it. You must translate the Configuration ID into a physical product structure and a manufacturing routing.
```Conditional Product Structures
You build one master product structure for the configurable part. This structure contains every possible component for every possible variation. You then attach inclusion rules to the structure lines. Select the structure line for the 220V power supply. Open the configuration condition block. Write the logic: Characteristic VOLTAGE = 220V. The system will now evaluate the Configuration ID attached to the shop order. If the ID contains 220V, the component is included in the material allocation. If it does not, the component is ignored. This eliminates the need for maintaining hundreds of separate BOMs.
Conditional Routings
The exact same logic applies to manufacturing routings. If a customer orders an unpainted steel cabinet, there is no reason for the shop order to include an operation step for the Paint Shop. You apply a condition to the routing operation. The operation is dynamically excluded from the shop order instructions based on the configuration parameters. This ensures accurate capacity planning. Your work centers are not loaded with phantom operations.
```The Mandatory Role of Dynamic Order Processing (DOP)
Standard shop orders fail when a configuration spans multiple levels of a sub-assembly tree. If you sell a custom vehicle, the custom engine and the custom chassis must be built specifically for that vehicle. Standard Material Requirements Planning (MRP) will attempt to pool demand and decouple the sub-assemblies from the top-level sales order. This causes chaos on the shop floor.
```Dynamic Order Processing (DOP) solves this. DOP creates a rigid, unbreakable pegging structure from the Customer Order down to the lowest level configured sub-assembly. When you configure the top-level part, the configuration parameters cascade down the DOP tree. The system creates a specific DOP Order for the top level, and child DOP Orders for the sub-assemblies. All costs, material allocations, and routing times are rolled up precisely for that specific customer build. If you are building multi-level configurable products in IFS Cloud, DOP is not optional. It is the only architectural choice that ensures supply chain visibility.
```Executing the Operational Flow
With the rules, structures, and routing conditions in place, the operational flow shifts from manual engineering to automated execution.
```- Order Entry: The sales representative enters the part on the Customer Order line. The configuration UI launches automatically. The rules engine validates their inputs in real time.
- Configured Pricing: Maintaining a price list for every combination is impossible. IFS Cloud CTO uses characteristic-based pricing. You define a base price for the core model. You then attach price modifiers to the characteristics. The 50HP motor adds $500. The premium paint adds $200. The system calculates the final sales price dynamically based on the generated Configuration ID.
- Order Fulfillment: Upon saving the order, the system evaluates the fulfillment method. If set to Make-to-Order, the system generates the pegged shop order or DOP structure. If the configurable part is purchased from a supplier, the system generates a back-to-back Purchase Order. The Purchase Order explicitly sends the Configuration ID and the selected characteristic values to the supplier.
To manage this entire ecosystem, IT managers must use the Configuration Structure page. This specialized screen allows you to visualize the entire tree of a configured item. You can trace exactly how a specific customer choice impacted the pricing, the material structure, and the routing operations. It is your primary diagnostic tool when a configuration rule fails.
```Expert Implementation FAQ: Navigating CTO Realities
Transitioning to dynamic manufacturing structures requires addressing deep operational concerns. These answers clarify the reality of running CTO in IFS Cloud.
```Standard MRP ignores top-level configurable parts because they have no independent demand until a Customer Order is placed. However, if you use Planning Configurations to forecast anticipated builds, MRP will process them. Multi-level DOP structures bypass standard MRP entirely for their specific pegging network. If your database is clean, CTO actually improves overall system performance by removing thousands of dead, unused static parts from the daily calculation logic.
You cannot press a button to merge them. You must create a new part number with the "Configurable" flag enabled. You then build the configuration family, the rules, and the dynamic structure. Finally, you phase out the old static part numbers by setting their lifecycle status to obsolete. This requires a dedicated data governance project.
Rules are governed by revision control. When you activate a new revision of a configuration rule, it applies to all new configurations created from that exact moment forward. Existing Customer Orders tied to an older Configuration ID retain the rules that were active at the time they were created. You do not risk breaking active production orders when deploying an engineering update.
Basic Shop Order pegging is brittle. If a multi-level build requires changes, standard pegging loses visibility across the levels. DOP provides a unified workbench. If a component is delayed on level four of the build, the DOP header immediately flags the impact on the top-level customer delivery date. DOP is the only safe architecture for deep CTO manufacturing.
Migrating to IFS Cloud CTO is a forced evolution of your master data strategy. You must rip out the static architectures that slow down your operations. By mastering configuration families, enforcing strict rules engines, and adopting dynamic structures, you build a system capable of handling infinite customer demands without breaking the IT department. The tools exist within the standard application. Stop avoiding them and start engineering your data.
