What is SAP Variant Configuration?
The variant configuration in the SAP is defined as the various complex products that are used to manufacture in several ways and methods. All of the variants can be defined as one product of the variant.
The SAP variant product often contains Bill of Material (BOM) along with all the components that are used in the super task list and in the product consisting operations that are very much required for the manufacturing of a product.
By assigning the product of variants to the classes, the characteristics can be assigned easily to the products of variants. The dependencies of the variants make sure that the right component is selected or not from the list of super tasks.
Let us know the complete details of SAP VC.
Master Data:
Whenever there is a product configured then the master data will be accessed.
- Master of material
- Task lists
- BOMs
- Configuration profiles
- Classes
- Characteristics
- Object dependencies
- Pricing conditions
The materials of BOM data and master material for the configurable.
- Sales view – It is known as a category group.
- Basic data – It is known as a tick material which is used as a configurable indicator.
- 0002 or with 0004
- View of MRP – It is considered as the strategy group.
- MRP type PD
- Classification view – It is based on the class type 300.
- Lot SIZE Ex.
Variant Configuration in the SAP:
- Initially, you have to create the name of the variant.
- Then assign the header tags.
- Create the configuration profile.
- Create dependency.
- Then finally, stimulate the configuration.
How to work with the Configurable BOMs?
If one can manufacture the product then that person works with the configurable BOMs. Besides, you may also produce the products very effectively for the customers who are very specific about the product.
Super BOM and its Process Flow:
Apart from the components of variants, one can easily create super BOM, this material will also contain various selectable components. You have to maintain the material bill for the configuration of the material.
For the instance, you can define dependencies of the object, and use the conditions according to the selectable components. Besides, you can also perform VC configuration well!
The system can select the suitable and desired components from the selectable ones.
Forecasting Methods:
The forecasting method is defined as the category of the algorithms. It is a technique which is used to address the condition of the specific data and is also known as the final technique application.
Based on the actual data or the existing plan, a new plan can be generated for a certain amount of period. There are several forecast models and strategies that are used as the seasoning models and second order exponential smoothing. The forecast and the model parameters are often maintained in the profiles of forecasts. By using the forecast method, one is able to forecast all the plan values for various characteristics and combinations.
A forecast profile contains grouping and strategy parameters as per the project existing plan. This profile will also enter in executing the repeated forecast by having different settings. Each and every forecast profile has a different strategy and this will define the model of forecasting without making the settings at a time.
The profile often used to allow in executing the forecast without any repetition in making the settings. Each and every profile has its own forecast strategy and this will go to define the models of forecasting.
Forecast Models:
When there is a series of values that are related to consumption values. In general, it will reveal the patterns. All these patterns are matched with the models of forecasting as listed below.
Trend – It is defined as the consumption values which can be used to raise constantly over the years.
Constant – The values of consumption vary a lot.
Seasonal – It periodically recovers the low as well as peak values that can differ significantly a lot from the stable value.
Parameters of Forecast:
One can maintain below parameters those are independent of model selections and depend on what you choose.
Fiscal year variant: One must have to maintain the fiscal year if anyone wants the flexible length which equals the accounting period.
Initialization periods: One can specify the period systems for the process of initialization.
Historical values: One can easily specify how many of the historical value systems that should be taken in the forecast account by filling the form. The maximum default value of this number is 60.
Forecast periods: through the periods of forecasting, one can easily specify how to determine the values of forecast.
Correction factors: Both the forecast value and correction values have weighed with almost appropriate factors through the demand of customizing.
Dependent Parameters on the Forecast Model
Beta factor: The system often uses the beta factor in order to smooth the value of the trend. If you are not specifying the alpha factor, then the system will use the alpha factor 2.0.
Alpha factor: The alpha factor is used for basic value smoothening. If you are not specifying the alpha factor, then the system will automatically have the alpha 2.0 factor.
Delta factor: This system uses the delta factor in smoothing the error total and absolute deviation. If you are not specifying the delta factor, then automatically the system will use delta 3.0.
Gamma factor: The gamma factor is used to smooth the seasonal index. Suppose, if you are not specifying the gamma factor then automatically the system will use delta 3.0.
By assigning the product of variants to the classes, the characteristics can be assigned easily to the products of variants. The dependencies of the variants make sure that the right component is selected or not from the list of super tasks. Based on the actual data or the existing plan, a new plan can be generated for a certain amount of period. There are several forecast models and strategies that are used as the seasoning models and second order exponential smoothing. The forecast and the model parameters are often maintained in the profiles of forecasts. By using the forecast method, one is able to forecast all the plan values for various characteristics and combinations.
Conclusion:
Hope this article helps to know the complete insights about SAP Variant Configuration. Any Questions? Comment below. Happy Learning!
