1. SAP Glossary
  2. Master Data
  3. finiteness level


What is finiteness level in SAP SCM-APO-MD - Master Data?


SAP Term: finiteness level

  • Component: SCM-APO-MD

  • Component Name: Master Data

  • Description: A setting that controls which applications can schedule a resource finitely or infinitely. &EXAMPLE& A resource has the finiteness level 200. In the strategy settings for "Production Planning" PP, the finiteness level up to which a resource should be scheduled finitely is 100, while in the DS strategy profile for "Detailed Scheduling" DS, it is 200. Therefore, the resource is scheduled infinitely in PP and finitely in DS.


Smart SAP Assistant

  • Key Concepts: 
    Finiteness level is a concept used in SAP SCM-APO-MD Master Data. It is a way of categorizing the different levels of detail that can be used to describe a product or service. Finiteness levels are used to determine the amount of detail that is necessary for a particular product or service. 
    
    How to use it: 
    Finiteness level can be used to determine the amount of detail that is necessary for a particular product or service. For example, if a product requires more detailed information than what is available at the lowest finiteness level, then the higher finiteness level should be used. The finiteness level can also be used to determine the amount of data that needs to be collected and stored in order to accurately describe a product or service. 
    
    Tips & Tricks: 
    When using finiteness level, it is important to consider the amount of detail that is necessary for a particular product or service. If too much detail is collected, it can lead to unnecessary complexity and cost. On the other hand, if too little detail is collected, it can lead to inaccurate data and incorrect decisions. 
    
    Related Information: 
    Finiteness level is related to other concepts such as granularity and complexity. Granularity refers to the amount of detail that is necessary for a particular product or service, while complexity refers to the amount of data that needs to be collected and stored in order to accurately describe a product or service.
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