Why Manufacturing Data Pipelines Break When Production Scales
A data pipeline can work perfectly well when a manufacturer has one plant, a handful of production lines, and a manageable number of machines. Then production grows. A second plant comes online. New machines are added. More sensors start sending data. The MES, ERP, quality system, maintenance platform, and shop-floor equipment all begin contributing to the same reporting environment. The pipeline that once looked simple starts developing problems. Data arrives late. Machine readings don't line up with production records. One plant calls a field "machine ID"; another uses an asset number . A network interruption leaves gaps in the data. Reports that used to load in seconds now take much longer. This isn't unusual. Manufacturing data becomes harder to manage as the number and variety of sources grow. NIST has also identified the difficulty of scaling data processing and distribution across increasingly varied shop-floor sources as a key manufacturing data...
