How To Fix /SAPAPO/PINV116 - Calculate &1, &2 (VCL) with non-constant Poisson distr. w/o price scales

/SAPAPO/PINV116 - Overview

• Message type: E = Error

• Message class: /SAPAPO/PINV -

• Message number: 116

• Message text: Calculate &1, &2 (VCL) with non-constant Poisson distr. w/o price scales

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/PINV116 - Calculate &1, &2 (VCL) with non-constant Poisson distr. w/o price scales ?

  The SAP error message /SAPAPO/PINV116 Calculate &1, &2 (VCL) with non-constant Poisson distr. w/o price scales typically occurs in the context of SAP Advanced Planning and Optimization (APO) when there is an issue with the calculation of demand or supply using a non-constant Poisson distribution without price scales. This error can arise during the planning process, particularly in demand planning or inventory management scenarios.
  
  Cause:
  
  Non-constant Poisson Distribution: The error indicates that the system is trying to calculate a forecast or planning scenario using a non-constant Poisson distribution, which is not properly configured or supported in the current context.
  Missing Price Scales: The error also suggests that the calculation is being attempted without the necessary price scales, which are often required for certain types of demand forecasting or planning calculations.
  
  Configuration Issues: There may be issues with the configuration of the planning book, data settings, or the characteristics of the product being analyzed.
  Data Integrity: