Press "Enter" to skip to content

Cross-Correlation of Time Series to Identify Time Lags in SAS

Kevin Scott and David Frede notice the pattern:

Batch manufacturing involves producing goods in batches rather than in a continuous stream. This approach is common in industries such as pharmaceuticals, chemicals, and materials processing, where precise control over the production process is essential to ensure product quality and consistency. One critical aspect of batch manufacturing is the need to manage and understand inherent time delays that occur at various stages of the process.

In the glass manufacturing industry, which operates under the principles of batch manufacturing, precisely controlling the furnace temperature is essential for producing high-quality glass. The process involves melting raw materials like silica sand, soda ash, and limestone at high temperatures, where maintaining the correct temperature is crucial.

Read on to see an example of how you can automate the identification of a time lag using cross-correlation techniques.